CN107545166A - Biometric discrimination method and Related product - Google Patents
Biometric discrimination method and Related product Download PDFInfo
- Publication number
- CN107545166A CN107545166A CN201710733119.3A CN201710733119A CN107545166A CN 107545166 A CN107545166 A CN 107545166A CN 201710733119 A CN201710733119 A CN 201710733119A CN 107545166 A CN107545166 A CN 107545166A
- Authority
- CN
- China
- Prior art keywords
- iris
- image
- mobile terminal
- fingerprint
- threshold value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Telephone Function (AREA)
Abstract
The embodiment of the invention discloses a kind of biometric discrimination method and Related product, this method includes:In the case where mobile terminal is in screen locking holding state, mobile terminal gathers the first iris image of the first facial image and collection according to the fingerprint image of biological image acquisition instruction acquisition first;Verify whether the matching degree of the first fingerprint image and the first fingerprint template is more than the first predetermined threshold value, verify whether the matching degree of the first facial image and the first face template is more than the first predetermined threshold value, verify whether the matching degree of the first iris image and the first iris templates is more than the first predetermined threshold value;If the matching degree of the first fingerprint image and the first fingerprint template is more than the first predetermined threshold value, or first the matching degree of facial image and the first face template be more than the first predetermined threshold value, or first the matching degrees of iris image and the first iris templates be more than the first predetermined threshold value, unblock operation is performed to mobile terminal.The embodiment of the present invention can improve the unblock success rate of bio-identification.
Description
Technical field
The present invention relates to technical field of mobile terminals, and in particular to a kind of biometric discrimination method and Related product.
Background technology
With the popularization of the mobile terminals such as mobile phone, tablet personal computer, modern life people have substantially been one mobile phones of human hand.
In order to ensure the security of mobile phone, current mobile phone typically all carries out unlocking screen using bio-identification (for example, fingerprint recognition)
To lift security.However, it is necessary to the fingerprint identification area of user's finger fingerprint face pressing mobile terminal in fingerprint identification process
The operating process in domain, and this operating process is many special circumstances (for example, finger is greasy, finger moistening, finger are peeled etc.)
Lower recognition success rate is relatively low.
The content of the invention
The embodiments of the invention provide a kind of biometric discrimination method and Related product, can improve the unblock of bio-identification into
Power.
First aspect of the embodiment of the present invention provides a kind of mobile terminal, including application processor AP, connection AP finger
Line identification module, recognition of face module and iris recognition module, wherein:
The fingerprint recognition module, under being in screen locking holding state in the mobile terminal, adopted according to biometric image
Collect the fingerprint image of instruction acquisition first;
The recognition of face module, under being in screen locking holding state in the mobile terminal, schemed according to the biology
As acquisition instructions gather the first facial image;
The iris recognition module, under being in screen locking holding state in the mobile terminal, schemed according to the biology
As acquisition instructions gather the first iris image;
The AP, it is default whether the matching degree for verifying first fingerprint image and the first fingerprint template is more than first
Threshold value, verifies whether the matching degree of first facial image and the first face template is more than first predetermined threshold value, verifies
Whether the matching degree of first iris image and the first iris templates is more than first predetermined threshold value;
The AP, it is additionally operable to preset when the matching degree of first fingerprint image and first fingerprint template is more than first
During threshold value, or when the matching degree of first facial image and first face template is more than first predetermined threshold value
When, or when the matching degree of first iris image and first iris templates is more than first predetermined threshold value, it is right
The mobile terminal performs unblock operation.
Second aspect of the embodiment of the present invention provides a kind of biometric discrimination method, including:
In the case where mobile terminal is in screen locking holding state, according to the fingerprint image of biological image acquisition instruction acquisition first, adopt
Collect the first iris image of the first facial image and collection;
Verify whether the matching degree of first fingerprint image and the first fingerprint template is more than the first predetermined threshold value, verify institute
Whether the matching degree for stating the first facial image and the first face template is more than first predetermined threshold value, verifies first iris
Whether the matching degree of image and the first iris templates is more than first predetermined threshold value;
If the matching degree of first fingerprint image and first fingerprint template is more than the first predetermined threshold value, if or institute
The matching degree for stating the first facial image and first face template is more than first predetermined threshold value, if or first rainbow
Film image and the matching degree of first iris templates are more than first predetermined threshold value, and unblock behaviour is performed to the mobile terminal
Make.
The third aspect of the embodiment of the present invention provides a kind of mobile terminal, including collecting unit, authentication unit and unlocking unit,
Wherein:
The collecting unit, under being in screen locking holding state in the mobile terminal, referred to according to biological image acquisition
Order the first fingerprint image of collection, gather the first iris image of the first facial image and collection;
The authentication unit, for verifying whether the matching degree of first fingerprint image and the first fingerprint template is more than the
One predetermined threshold value, verifies whether the matching degree of first facial image and the first face template is more than the described first default threshold
Value, verifies whether the matching degree of first iris image and the first iris templates is more than first predetermined threshold value;
The unlocking unit, it is more than first for the matching degree when first fingerprint image and first fingerprint template
During predetermined threshold value, or when the matching degree of first facial image and first face template is more than the described first default threshold
During value, or when the matching degree of first iris image and first iris templates is more than first predetermined threshold value,
Unblock operation is performed to the mobile terminal.
Fourth aspect of the embodiment of the present invention provides a kind of mobile terminal, including application processor AP, connects the finger of the AP
Line identification module, recognition of face module, iris recognition module and memory, the memory are used to store one or more journeys
Sequence, one or more of programs are configured to be performed by the AP, and described program includes being used to perform such as the embodiment of the present invention
Part or all of step described in second aspect either method.
The aspect of the embodiment of the present invention the 5th provides a kind of computer-readable recording medium, the computer-readable recording medium
For storing the computer program of electronic data interchange, wherein, the computer program causes computer to perform as the present invention is real
Apply the part or all of step described in a second aspect either method.
The aspect of the embodiment of the present invention the 6th provides a kind of computer program product, and the computer program product includes storage
The non-transient computer-readable recording medium of computer program, the computer program are operable to make computer perform such as
Part or all of step described in second aspect either method of the embodiment of the present invention.
In the embodiment of the present invention, in the case where mobile terminal is in screen locking holding state, fingerprint recognition, recognition of face can be enabled
Bio-identification is carried out simultaneously with these three bio-identification modes of iris recognition, as long as there is a kind of bio-identification to be verified, you can
Unblock operation is performed to mobile terminal, the unblock success rate of bio-identification can be improved.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 a are the operation principle schematic diagrams of optical finger print identification module disclosed in the embodiment of the present invention;
Fig. 1 b are the operation principle schematic diagrams of capacitive fingerprint identification module disclosed in the embodiment of the present invention;
Fig. 1 c are the operation principle schematic diagrams of recognition of face module disclosed in the embodiment of the present invention;
Fig. 1 d are the operation principle schematic diagrams of iris recognition module disclosed in the embodiment of the present invention;
Fig. 1 e are a kind of structural representations of mobile terminal disclosed in the embodiment of the present invention;
Fig. 1 f are the structural representations of another mobile terminal disclosed in the embodiment of the present invention;
Fig. 2 is a kind of schematic flow sheet of biometric discrimination method disclosed in the embodiment of the present invention;
Fig. 3 is the schematic flow sheet of another biometric discrimination method disclosed in the embodiment of the present invention;
Fig. 4 is the schematic flow sheet of another biometric discrimination method disclosed in the embodiment of the present invention;
Fig. 5 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention;
Fig. 6 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention;
Fig. 7 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art
The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
Term " first ", " second " in description and claims of this specification and above-mentioned accompanying drawing etc. are to be used to distinguish
Different objects, rather than for describing particular order.In addition, term " comprising " and " having " and their any deformations, it is intended that
It is to cover non-exclusive include.Such as process, method, system, product or the equipment for containing series of steps or unit do not have
The step of being defined in the step of having listed or unit, but alternatively also including not listing or unit, or alternatively also wrap
Include for other intrinsic steps of these processes, method, product or equipment or unit.
Referenced herein " embodiment " is it is meant that the special characteristic, structure or the characteristic that describe can wrap in conjunction with the embodiments
In at least one embodiment of the present invention.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
Mobile terminal involved by the embodiment of the present invention can include the various handheld devices with radio communication function,
Mobile unit, wearable device, computing device or other processing equipments for being connected to radio modem, and various forms
User equipment (User Equipment, UE), mobile station (Mobile Station, MS), terminal device (terminal
Device) etc..For convenience of description, apparatus mentioned above is referred to as mobile terminal.
The embodiment of the present invention is described in detail below.
In order to be better understood from the embodiment of the present invention, first to the fingerprint recognition operation principle in the embodiment of the present invention, people
Face identifies that operation principle and iris recognition operation principle are introduced.
Fingerprint recognition, optical finger print identification and capacitive fingerprint identification can be divided into.Fig. 1 a are referred to, Fig. 1 a are of the invention real
The operation principle schematic diagram of optical finger print identification module disclosed in example is applied, as shown in Figure 1a, including touching display screen 110 and optics
Fingerprint recognition module 120.Wherein, optical finger print identification module 120 includes internal light source 121 and detection means 122, detection means
122 can be charge coupled device (Charge-coupled Device, CCD) array.Optical finger print identification module 120 can wrap
Include at least one internal light source 121 and at least one detection means 122.Internal light source 121 can launch incident ray, incident light
The region that line contacts by touching display screen surface with finger is reflected, and reflection light is received and changed by detection means 122
For electrical signal data, optical finger print identification module 120 can identify the convex of which incident ray and fingerprint according to total reflection principle
(ridge of fingerprint) contact, which beam incident optical contact with the recess (paddy of fingerprint) of fingerprint at rising.
The specific dotted line magnification region referred in Fig. 1 a, on touching display screen surface, the ridge and touching display screen of fingerprint
Surface contacts, and the paddy of fingerprint does not contact with touching display screen surface.When optical finger print identification module 120 produces incident ray irradiation
In the paddy of fingerprint, incident ray is radiated at the surface of touching display screen and air contact, now, by designing incident ray
Incident angle, so that total reflection occurs for the incident ray, (refractive index of the material of touching display screen is more than 1, the refractive index of air
It is approximately equal to 1, sets the refractive index of the material of touching display screen to be more than the refractive index of air), now, optical finger print identification mould
Group 120 can receive stronger total reflection light.Fingerprint is radiated at when optical finger print identification module 120 produces incident ray
During ridge, incident ray is radiated at the surface that touching display screen contacts with finger print high spot, and now, incident ray is radiated at hand
The high spot of finger, launch diffusing reflection, now, optical finger print identification module 120 can receive weaker diffusing reflection light.Optics
Fingerprint recognition module 120 can form fingerprint image according to the strong and weak of transmitting light of reception.When optical finger print identifies module 120
After collecting fingerprint image, the processor in mobile terminal can be by the fingerprint image collected and the finger of memory memory storage
Line template is matched, after fitting through, you can is identified and verified by optical finger print.
Fig. 1 b are referred to, Fig. 1 b are the operation principle schematic diagrams of capacitive fingerprint identification module disclosed in the embodiment of the present invention,
As shown in Figure 1 b, capacitive fingerprint identification module 130 includes fingerprint cover plate 131, capacitive fingerprint sensing device 132 and capacitance type fingerprint
Chip 133.Wherein, capacitive fingerprint sensing device 132 be used to detecting the high spot (ridge of fingerprint) of fingerprint and fingerprint cover plate 131 it
Between electric capacity, and for detecting electric capacity of the recess (paddy of fingerprint) of fingerprint between fingerprint cover plate 131, due to fingerprint
Ridge and paddy are different apart from the distance of fingerprint cover plate 131, and according to capacity plate antenna principle, caused electric capacity is also different, and finger pressing refers to
After line cover plate 131, capacitive fingerprint sensing device 132 can detect the capacitance profile on fingerprint cover plate 131, capacitance type fingerprint chip
133 detect that the capacitance profile on fingerprint cover plate 131 generates fingerprint image according to capacitive fingerprint sensing device 132.When electric capacity refers to
After line identification module 130 collects fingerprint image, the processor in mobile terminal can be by the fingerprint image collected with depositing
The fingerprint template of reservoir memory storage is matched, after fitting through, you can is identified and verified by capacitive fingerprint.
Fig. 1 c are referred to, Fig. 1 c are the operation principle schematic diagrams of recognition of face module disclosed in the embodiment of the present invention, are such as schemed
Shown in 1c, Fig. 1 c are referred to, Fig. 1 c are the operation principle schematic diagrams of recognition of face module disclosed in the embodiment of the present invention.In Fig. 1 c
Face recognition application in mobile terminal, mobile terminal is by taking mobile phone as an example.As illustrated in figure 1 c, before recognition of face module 140 includes
Put camera 141, light sensor 142 and preposition flash lamp 143.Light sensor 142 is used to gather mobile phone external environment
The intensity of light, when the intensity of mobile phone external environmental light is stronger, without opening preposition flash lamp 143, start front camera 141
Shoot facial image;When the intensity of mobile phone external environmental light is weaker, preposition flash lamp 143 is opened, and start front camera
141 shooting facial images.Optionally, recognition of face module 140 can also include range sensor 144 (for example, infrared sensing
Device), range sensor 144 be used for detect the distance between mobile phone and user's face, when range sensor 144 detect mobile phone and
In OK range when (for example, 20-70 centimetres), triggering recognition of face module 140 works the distance between user's face.Its
In, front camera 141, light sensor 142, preposition flash lamp 143 and range sensor 144 can pass through bus 145
Connection.After recognition of face module 140 collects facial image, face that the processor in mobile terminal will can collect
Image is matched with the face template of memory memory storage, after fitting through, you can verified by recognition of face.
Fig. 1 d are referred to, Fig. 1 d are the operation principle schematic diagrams of iris recognition module disclosed in the embodiment of the present invention, are such as schemed
Shown in 1d, Fig. 1 d are referred to, Fig. 1 d are the operation principle schematic diagrams of iris recognition module disclosed in the embodiment of the present invention.In Fig. 1 d
Iris recognition be applied to mobile terminal, mobile terminal is by taking mobile phone as an example.As shown in Figure 1 d, iris recognition module 150 includes rainbow
Film camera 151 and infrared flashlight 152.Iris camera 151 can shoot iris image, and iris camera 151 works
When, light filling can be carried out by infrared flashlight 152.Optionally, iris recognition module 150 can also include range sensor
153 (for example, infrared sensors), range sensor 153 are used to detect the distance between mobile phone and user's human eye, work as Distance-sensing
Device 154 detects that the distance between mobile phone and user's human eye when (for example, 20-40 centimetres), trigger iris and known in OK range
Other module 150 works.Wherein, iris camera 151, infrared flashlight 152 and range sensor 153 can pass through bus
154 connections.After iris recognition module 150 collects iris image, processor in mobile terminal will can collect
Iris image is matched with the iris templates of memory memory storage, after fitting through, you can verified by iris recognition.
The bio-identification (fingerprint recognition, recognition of face, iris recognition) of the embodiment of the present invention can be used for unlocking screen, hand
Machine payment etc. needs to carry out the scene of safety certification.
Fig. 1 e are referred to, Fig. 1 e are a kind of structural representations of mobile terminal disclosed in the embodiment of the present invention, such as Fig. 1 e institutes
Show, the mobile terminal 100 includes application processor (Application Processor, AP) 101, connects AP101 fingerprint knowledge
Other module 102, recognition of face module 103 and iris recognition module 104, wherein, AP101 connects fingerprint by bus 105 to be known
Other module 102, recognition of face module 103 and iris recognition module 104.
Fingerprint recognition module 102, under being in screen locking holding state in mobile terminal 100, according to biological image acquisition
The fingerprint image of instruction acquisition first.
Recognition of face module 103, under being in screen locking holding state in mobile terminal 100, according to biological image acquisition
The facial image of instruction acquisition first.
Iris recognition module 104, under being in screen locking holding state in mobile terminal 100, according to biological image acquisition
The iris image of instruction acquisition first.
Screen locking holding state, it is the screen that mobile terminal 100 is in holding state and mobile terminal in the embodiment of the present invention
It is in the lock state, can put out screen state or bright screen state.Biological image acquisition instruction can include fingerprint collecting
Instruction, face acquisition instructions and iris capturing instruction.Biological image acquisition instruction can be triggered by user (for example, user presses
Power key, pressing fingerprint recognition region etc.), can also be triggered by mobile terminal 100 (for example, whether detection mobile terminal is located
In preset state).Fingerprint recognition module 102 can be according to the fingerprint image of fingerprint collecting instruction acquisition first.Wherein, fingerprint recognition
Module 102 can be optical finger print identification module or capacitive fingerprint identification module, can also be that ultrasonic fingerprint identifies
Module.
Biological image acquisition instruction can be triggered by the pressure sensor of mobile terminal 100, for example, when pressure sensor is examined
When measuring the fingerprint recognition region of user's pressing mobile terminal 100, triggering starts fingerprint collecting instruction, face acquisition instructions and rainbow
Film acquisition instructions.Fingerprint recognition module 102 is according to the fingerprint image of fingerprint collecting instruction acquisition first, recognition of face module 103
The first facial image is gathered according to face acquisition instructions, iris recognition module 104 is according to iris capturing instruction acquisition the first iris figure
Picture.Biological image acquisition instruction can also by mobile terminal attitude transducer (attitude transducer can include three-axis gyroscope,
The motion sensors such as three axis accelerometer, three axle electronic compass) triggering, when attitude transducer detects that user lifts movement eventually
During the action at end 100, triggering starts fingerprint collecting instruction, face acquisition instructions and iris capturing instruction.Biological image acquisition refers to
Order can also be triggered by the range sensor (for example, infrared sensor) of mobile terminal, when range sensor detects movement
Terminal 100 apart from the distance of user's face be in the range of pre-determined distance (for example, 10-70 centimetres) when, triggering start fingerprint adopt
Collection instruction, face acquisition instructions and iris capturing instruction.Biological image acquisition instruction can also be taken the photograph by the preposition of mobile terminal
As head triggering, when front camera detects facial image, triggering starts fingerprint collecting instruction, face acquisition instructions and iris and adopted
Collection instruction.Optionally, biological image acquisition instruction can be passed by the pressure sensor of mobile terminal 100, attitude transducer, distance
At least one of sensor, front camera trigger.
AP101, for verifying whether the matching degree of the first fingerprint image and the first fingerprint template is more than the first predetermined threshold value,
Verify whether the matching degree of the first facial image and the first face template is more than the first predetermined threshold value, the first iris image of checking with
Whether the matching degree of the first iris templates is more than the first predetermined threshold value.
In the embodiment of the present invention, whether AP101 verifies the matching degree of the first fingerprint image and the first fingerprint template more than the
The mode of one predetermined threshold value is specially:AP101 extracts the fingerprint characteristic in the first fingerprint image, by the fingerprint characteristic of extraction and the
Fingerprint characteristic in one fingerprint template is contrasted, and obtains fingerprint matching degree, whether default more than first compares fingerprint matching degree
Threshold value.Wherein, the first predetermined threshold value can be set smaller, for example, it is 70% to set the first predetermined threshold value.
Whether the matching degree of AP101 the first facial images of checking and the first face template is more than the mode of the first predetermined threshold value
Specially:AP101 extracts the face characteristic in the first facial image, by the people in the face characteristic of extraction and the first face template
Face feature is contrasted, and obtains face matching degree, compares whether face matching degree is more than the first predetermined threshold value.
Whether the matching degree of AP101 the first iris images of checking and the first iris templates is more than the mode of the first predetermined threshold value
Specially:AP101 extracts the iris feature in the first iris image, by the rainbow in the iris feature of extraction and the first iris templates
Film feature is contrasted, and obtains iris matching degree, compares whether iris matching degree is more than the first predetermined threshold value.
Optionally, the first fingerprint template includes fingerprint coarse feature, and the first face template includes the thick feature of face, the first iris
Template includes the thick feature of iris.
Wherein, fingerprint coarse feature, it can be understood as rough fingerprint characteristic, or partial fingerprints feature, for example, fingerprint
Thick feature can include obvious lines, the core point of fingerprint and the line number of fingerprint of fingerprint.With fingerprint coarse feature to corresponding
Be the thin feature of fingerprint, for example, the thin feature of fingerprint can include Curvature varying, the destination node of fingerprint of fingerprint lines
(Ending), bifurcation (Bifurcation), ramification point (Ridge Divergence), isolated point (Dotor Island), ring
Point (Enclosure), and the destination node of fingerprint, bifurcation, ramification point, isolated point, circling point and core point relative position with
And distance.For simple, if carrying out fingerprint authentication using fingerprint coarse feature, it is only necessary to collect the core point including fingerprint
The more obvious fingerprint characteristic in part, you can verified by fingerprint recognition.If carrying out fingerprint authentication using the thin feature of fingerprint,
Needing to gather more detail characteristics of fingerprints can be verified by fingerprint recognition.Fingerprint authentication is carried out using fingerprint coarse feature,
The speed of fingerprint authentication is relatively fast, but security is relatively low, and fingerprint authentication, fingerprint authentication are carried out using the thin feature of fingerprint
Speed it is relatively slow, but security is of a relatively high.In the scene that mobile terminal carries out unlocking screen, user is concerned with
The success rate of unblock, fingerprint coarse feature can be used, so as to improve fingerprint authentication speed, lift Consumer's Experience.In mobile terminal
In the scene for moving payment, what user focused more on is safety of payment, can use the thin feature of fingerprint, improves mobile payment
When payment safety.
The thick feature of face, it can be understood as rough face characteristic, or part face characteristic, for example, face is slightly special
Sign can include the more obvious features such as eye spacing, the face size of face.With the thick feature of face to it is corresponding be that face is thin
Feature, for example, the thin feature of face can include the relative distance and relative direction between eyes figure, lip lines, face.Letter
For list, if carrying out face verification using the thick feature of face, it is only necessary to collect including more obvious face characteristic, i.e.,
It can be verified by recognition of face.If face verification is carried out, it is necessary to gather more facial detail features using the thin feature of face
It can be verified by recognition of face.Face verification is carried out using the thick feature of face, the speed of face verification is relatively fast, still
Security is relatively low, carries out face verification using the thin feature of face, the speed of face verification is relatively slow, but security phase
To higher.In the scene that mobile terminal carries out unlocking screen, user is concerned with the success rate of unblock, and face can be used thick
Feature, so as to improve face verification speed, lift Consumer's Experience.In mobile terminal moves the scene of payment, Yong Hugeng
What is paid attention in is safety of payment, can use the thin feature of face, improves payment safety during mobile payment.
The thick feature of iris, it can be understood as rough iris feature, or part iris feature, for example, iris is slightly special
Sign can include the shape of pupil, the diameter of pupil, the more obvious feature such as color of pupil.With the thick feature of iris to corresponding
Be the thin feature of iris, for example, spot, filament, coronal, striped, crypts etc. that the thin feature of iris can be included around pupil are thin
Micro- feature.For simple, if carrying out iris verification using the thick feature of iris, it is only necessary to collect including more obvious rainbow
Film feature, you can verified by iris recognition.If iris verification is carried out, it is necessary to gather more irises using the thin feature of iris
Minutia can be verified by iris recognition.Iris verification is carried out using the thick feature of iris, the speed of iris verification is relative
Comparatively fast, but security is relatively low, and iris verification is carried out using the thin feature of iris, and the speed of iris verification is relatively slow, but
It is that security is of a relatively high.In the scene that mobile terminal carries out unlocking screen, user is concerned with the success rate of unblock, can be with
Using the thick feature of iris, so as to improve iris verification speed, Consumer's Experience is lifted.The scene of payment is moved in mobile terminal
In, what user focused more on is safety of payment, can use the thin feature of iris, improves payment safety during mobile payment.
AP101, it is additionally operable to when the matching degree of the first fingerprint image and the first fingerprint template is more than the first predetermined threshold value, or
Person when the matching degree of the first facial image and the first face template is more than the first predetermined threshold value, or when the first iris image with
When whether the matching degree of the first iris templates is more than the first predetermined threshold value, unblock operation is performed to mobile terminal 100.
In the embodiment of the present invention, AP101 can simultaneously fingerprint recognition module 102 is collected fingerprint image, face know
The iris image that the facial image and iris recognition module 104 that other module 103 collects collect is verified, as long as collection
To fingerprint image, having any of which in facial image and iris image, the match is successful, then it is assumed that recognized by bio-identification
Card, you can operation is unlocked to mobile terminal, into the main interface of mobile terminal, user can be to the application in mobile terminal
Operated.
It should be noted that the fingerprint image that fingerprint recognition module 102 collects is probably blank fingerprint image.Work as distance
When sensor detects that the distance of user's face and mobile terminal 100 is in the range of pre-determined distance, recognition of face module 103 can
To start to gather facial image, iris recognition module 104 can gather iris image, and user may not place a digit into finger
Line cog region, the then fingerprint image that now fingerprint recognition module 102 collects are blank fingerprint image.
In the embodiment of the present invention, in the case where mobile terminal is in screen locking holding state, fingerprint recognition, recognition of face can be enabled
Bio-identification is carried out simultaneously with these three bio-identification modes of iris recognition, as long as there is a kind of bio-identification to be verified, you can
Unblock operation is performed to mobile terminal, the unblock success rate of bio-identification can be improved.
Optionally, the structural representation that Fig. 1 f, Fig. 1 f are another mobile terminals disclosed in the embodiment of the present invention is referred to,
As shown in Figure 1 f, Fig. 1 f add sensor assembly 106 on the basis of Fig. 1 e.
Sensor assembly 106, for detecting whether mobile terminal 100 is in preset state.
Wherein, sensor assembly 106 can include pressure sensor, (attitude transducer can include three to attitude transducer
The motion sensors such as axle gyroscope, three axis accelerometer, three axle electronic compass), range sensor (for example, infrared sensor),
At least one of camera.Preset state can be in lifting status, the fingerprint of mobile terminal 100 including mobile terminal 100
Identification region be in the distance between pressed state, mobile terminal 100 and user's face be in the range of pre-determined distance (for example,
10-70 centimetres), mobile terminal 100 detect any one in facial image.Wherein, pressure sensor can detect movement
Whether the fingerprint recognition region of terminal 100 is in pressed state, and whether attitude transducer can detect mobile terminal 100 in lift
The state of rising, range sensor can detect whether the distance between mobile terminal 100 and user's face are in pre-determined distance scope
Interior, camera can detect whether to photograph facial image.
Optionally, preset state includes following at least one:
Mobile terminal 100 is in lifting status, the fingerprint recognition region of mobile terminal 100 is in pressed state, mobile whole
End the distance between 100 and user's face are in the range of pre-determined distance.
Whether detection mobile terminal 100 is in lifting status, can be specifically that the attitude transducer detection of mobile terminal moves
Whether dynamic terminal 100 moves according to desired guiding trajectory, and detection mobile terminal 100 according to desired guiding trajectory during moving
Acceleration magnitude whether exceed predetermined acceleration threshold value.
AP101, it is additionally operable to when mobile terminal 100 is in preset state, starts biological image acquisition instruction, according to biology
Image capture instruction gathers the first fingerprint image, gathers the first iris image of the first facial image and collection.
In the embodiment of the present invention, when mobile terminal 100 is in preset state, starts biological image acquisition instruction, carry out
Bio-identification is verified.Triggered without user oneself and start biological image acquisition instruction, the speed of bio-identification, lifting can be improved
Consumer's Experience.
Optionally, recognition of face module 103, it is additionally operable to, when mobile terminal 100 starts and pays class application, gather the second people
Face image.
Iris recognition module 104, it is additionally operable to, when mobile terminal 100 starts and pays class application, gather the second iris image.
Wherein, it is that the application of payment can be moved by the payment class application to pay class application, for example, wechat, branch
Fu Bao, apple are paid (Apple Pay) etc..The embodiment of the present invention when starting payment class application, test by advanced row recognition of face
Card and/or iris recognition checking.It can be encrypted in advance to paying class application in the embodiment of the present invention, should starting payment class
Used time needs to carry out recognition of face checking and/or iris recognition checking.
AP101, it is additionally operable to verify whether the matching degree of the second facial image and the second face template is more than the second default threshold
Value, verifies whether the matching degree of the second iris image and the second iris templates is more than the second predetermined threshold value, and the second predetermined threshold value is big
In the first predetermined threshold value.
In the embodiment of the present invention, the second predetermined threshold value is more than the first predetermined threshold value, for example, the second predetermined threshold value can be set
For 90%.
Optionally, the second face template includes the thin feature of face, and the second iris templates include the thin feature of iris.
The thin feature of face, it can be understood as the face characteristic of details, for example, the thin feature of face can include eyes figure,
Relative distance and relative direction between lip lines, face.With the thin feature of face to it is corresponding be the thick feature of face, face is thick
Feature can be understood as rough face characteristic, or part face characteristic, for example, the thick feature of face can include face
The more obvious features such as eye spacing, face size.For simple, if carrying out face verification using the thick feature of face, only
Need to collect including more obvious face characteristic, you can verify by recognition of face.If carried out using the thin feature of face
Face verification is, it is necessary to which gathering more facial detail features can be verified by recognition of face.Carried out using the thick feature of face
Face verification, the speed of face verification is relatively fast, but security is relatively low, and carrying out face using the thin feature of face tests
Card, the speed of face verification is relatively slow, but security is of a relatively high.In the scene that mobile terminal carries out unlocking screen,
User is concerned with the success rate of unblock, can use the thick feature of face, so as to improve face verification speed, lifts user's body
Test.In mobile terminal moves the scene of payment, what user focused more on is safety of payment, and face can be used carefully special
Sign, improve payment safety during mobile payment.
The thin feature of iris, it can be understood as the iris feature of details, for example, the thin feature of iris can include around pupil
The fine feature such as spot, filament, coronal, striped, crypts.With the thin feature of iris to it is corresponding be the thick feature of iris, iris is slightly special
Sign can be understood as rough iris feature, for example, the thick feature of iris can include the shape of pupil, the diameter of pupil, pupil
The more obvious feature such as color.For simple, if carrying out iris verification using the thick feature of iris, it is only necessary to collect
Including more obvious iris feature, you can verified by iris recognition.If carrying out iris verification using the thin feature of iris, need
Gathering more iris minutias can be verified by iris recognition.Iris verification, rainbow are carried out using the thick feature of iris
The speed of film checking is relatively fast, but security is relatively low, and iris verification is carried out using the thin feature of iris, iris verification
Speed is relatively slow, but security is of a relatively high.In the scene that mobile terminal carries out unlocking screen, user is concerned with solving
The success rate of lock, the thick feature of iris can be used, so as to improve iris verification speed, lift Consumer's Experience.Enter in mobile terminal
In the scene of row mobile payment, what user focused more on is safety of payment, can use the thin feature of iris, when improving mobile payment
Payment safety.
AP101, it is additionally operable to when the matching degree of the second facial image and the second face template is more than the second predetermined threshold value,
And/or when the matching degree of the second iris image and the second iris templates is more than the second predetermined threshold value, it is determined that by payment verification,
And enter the payment class application.
In the embodiment of the present invention, when being applied into the payment class, safety verification can be strengthened, for example, verifying face simultaneously
And iris, when being both verified, the payment class application could be entered.Verified, can improved by dual bio-identification
The security of payment.
In another embodiment, when being applied into the payment class, in order to improve the speed for entering payment class application,
When both recognition of face and iris recognition have one kind to pass through checking, you can into the payment class application.
AP101, it is additionally operable to it is determined that by the preset time period after payment verification, it is allowed to which mobile terminal 100 is carried out
Exempt from bio-identification payment.
Wherein, in preset time period, payment class application is still being run, and optionally, payment class application still exists
Front stage operation, operation mobile terminal during running background is avoided to carry out exempting from the security risk that bio-identification payment is brought.Preset time
Section could be arranged to 1 minute, 2 minutes, 5 minutes etc..
Exempt from bio-identification payment, i.e., when confirming to pay, without carrying out bio-identification checking again, directly paid.
In the embodiment of the present invention, due to bio-identification checking has been carried out when starting and paying class application, the payment is subsequently being used
When class application is paid, without carrying out bio-identification checking again, (bio-identification checking can be fingerprint recognition checking, face
One or more combinations in identification checking, iris recognition checking), user's payment speed can be improved, so as to lift user's body
Test.
In the embodiment of the present invention, when entering payment class application, first carry out iris recognition checking and/or recognition of face is tested
Card, in a period of time after being verified, if necessary to move payment using the payment class application, then it can not need
Bio-identification checking is carried out again, user's payment speed can be improved, so as to lift Consumer's Experience.
Referring to Fig. 2, Fig. 2 is a kind of schematic flow sheet of biometric discrimination method disclosed in the embodiment of the present invention.This method
Applied to the mobile terminal for including application processor AP, fingerprint recognition module, recognition of face module and iris recognition module, such as
Shown in Fig. 2, this method comprises the following steps.
201, in the case where mobile terminal is in screen locking holding state, mobile terminal is according to biological image acquisition instruction acquisition first
Fingerprint image, gather the first iris image of the first facial image and collection.
202, mobile terminal verifies whether the matching degree of the first fingerprint image and the first fingerprint template is more than the first default threshold
Value, verifies whether the matching degree of the first facial image and the first face template is more than the first predetermined threshold value, verifies the first iris figure
As whether the matching degree with the first iris templates is more than the first predetermined threshold value.
203, if the matching degree of the first fingerprint image and the first fingerprint template is more than the first predetermined threshold value, if or the first
The matching degree of face image and the first face template is more than the first predetermined threshold value, or the first iris image and the first iris templates
Matching degree is more than the first predetermined threshold value, and mobile terminal performs unblock operation to mobile terminal.
Optionally, the first fingerprint template includes fingerprint coarse feature, and the first face template includes the thick feature of face, the first iris
Template includes the thick feature of iris.
204, if the matching degree of the first fingerprint image and the first fingerprint template is less than or equal to the first predetermined threshold value, and
The matching degree of one facial image and the first face template is less than or equal to the first predetermined threshold value, and the first iris image and first
The matching degree of iris templates is less than or equal to the first predetermined threshold value, and mobile terminal determines unblock failure.
The embodiment of step in Fig. 2 specifically may refer to the device embodiment shown in Fig. 1 a- Fig. 1 f, no longer superfluous herein
State.
Implement the method shown in Fig. 2, in the case where mobile terminal is in screen locking holding state, fingerprint recognition, face can be enabled
Identification and these three bio-identification modes of iris recognition carry out bio-identification simultaneously, as long as there is a kind of bio-identification to be verified,
Unblock operation can be performed to mobile terminal, the unblock success rate of bio-identification can be improved.
Referring to Fig. 3, Fig. 3 is the schematic flow sheet of another biometric discrimination method disclosed in the embodiment of the present invention.The party
Method is applied to the mobile terminal for including application processor AP, fingerprint recognition module, recognition of face module and iris recognition module,
Further optimization obtains Fig. 3 method on the basis of Fig. 2, as shown in figure 3, this method comprises the following steps.
301, in the case where mobile terminal is in screen locking holding state, whether detection mobile terminal is in preset state.If it is not, hold
Row step 302.If so, perform step 303.
Optionally, preset state includes following at least one:
Mobile terminal is in lifting status, the fingerprint recognition region of mobile terminal is in pressed state, mobile terminal and use
The distance between family face is in the range of pre-determined distance.
302, mobile terminal does not start biological image acquisition instruction.
303, mobile terminal starts biological image acquisition instruction, according to the fingerprint image of biological image acquisition instruction acquisition first
Picture, gather the first iris image of the first facial image and collection.
304, mobile terminal verifies whether the matching degree of the first fingerprint image and the first fingerprint template is more than the first default threshold
Value, verifies whether the matching degree of the first facial image and the first face template is more than the first predetermined threshold value, verifies the first iris figure
As whether the matching degree with the first iris templates is more than the first predetermined threshold value.
305, if the matching degree of the first fingerprint image and the first fingerprint template is more than the first predetermined threshold value, or the first face
The matching degree of image and the first face template is more than the first predetermined threshold value, or of the first iris image and the first iris templates
It is more than the first predetermined threshold value with degree, mobile terminal performs unblock operation to mobile terminal.
306, if the matching degree of the first fingerprint image and the first fingerprint template is less than or equal to the first predetermined threshold value, and
The matching degree of one facial image and the first face template is less than or equal to the first predetermined threshold value, and the first iris image and first
The matching degree of iris templates is less than or equal to the first predetermined threshold value, and mobile terminal determines unblock failure.
The embodiment of step in Fig. 3 specifically may refer to the device embodiment shown in Fig. 1 a- Fig. 1 f, no longer superfluous herein
State.
Method shown in implementing Fig. 3, in the case where mobile terminal is in screen locking holding state, fingerprint recognition, face can be enabled
Identification and these three bio-identification modes of iris recognition carry out bio-identification simultaneously, as long as there is a kind of bio-identification to be verified,
Unblock operation can be performed to mobile terminal, the unblock success rate of bio-identification can be improved.When mobile terminal is in default shape
During state, start biological image acquisition instruction, carry out bio-identification checking.Startup biological image acquisition is triggered without user oneself to refer to
Order, the speed of bio-identification can be improved, lift Consumer's Experience.
Referring to Fig. 4, Fig. 4 is the schematic flow sheet of another biometric discrimination method disclosed in the embodiment of the present invention.The party
Method is applied to the mobile terminal for including application processor AP, fingerprint recognition module, recognition of face module and iris recognition module,
Further optimization obtains Fig. 4 method on the basis of Fig. 2, as shown in figure 4, this method comprises the following steps.
401, in the case where mobile terminal is in screen locking holding state, mobile terminal is according to biological image acquisition instruction acquisition first
Fingerprint image, gather the first iris image of the first facial image and collection.
402, mobile terminal verifies whether the matching degree of the first fingerprint image and the first fingerprint template is more than the first default threshold
Value, verifies whether the matching degree of the first facial image and the first face template is more than the first predetermined threshold value, verifies the first iris figure
As whether the matching degree with the first iris templates is more than the first predetermined threshold value.
403, if the matching degree of the first fingerprint image and the first fingerprint template is more than the first predetermined threshold value, or the first face
The matching degree of image and the first face template is more than the first predetermined threshold value, or of the first iris image and the first iris templates
It is more than the first predetermined threshold value with degree, mobile terminal performs unblock operation to mobile terminal.
404, if the matching degree of the first fingerprint image and the first fingerprint template is less than or equal to the first predetermined threshold value, and
The matching degree of one facial image and the first face template is less than or equal to the first predetermined threshold value, and the first iris image and first
The matching degree of iris templates is less than or equal to the first predetermined threshold value, and mobile terminal determines unblock failure.
405, when mobile terminal, which starts, pays class application, mobile terminal gathers the second rainbow of the second facial image and collection
Film image.
406, mobile terminal verifies whether the matching degree of the second facial image and the second face template is more than the second default threshold
Value, verifies whether the matching degree of the second iris image and the second iris templates is more than the second predetermined threshold value, and the second predetermined threshold value is big
In the first predetermined threshold value.
407, if the matching degree of the second facial image and the second face template is more than the second predetermined threshold value, and/or the second rainbow
The matching degree of film image and the second iris templates is more than the second predetermined threshold value, and mobile terminal determines to pass through payment verification, and enters
Pay class application.
Optionally, the second face template includes the thin feature of face, and the second iris templates include the thin feature of iris.
408, if the matching degree of the second facial image and the second face template is less than or equal to the second predetermined threshold value, and
The matching degree of two iris images and the second iris templates is less than or equal to the second predetermined threshold value, and mobile terminal determines that branch can not be passed through
Pay checking.Continue executing with step 405.
409, it is determined that by the way that in the preset time period after payment verification, mobile terminal allows mobile terminal to carry out exempting to give birth to
Thing identification is paid.
The embodiment of step in Fig. 4 specifically may refer to the device embodiment shown in Fig. 1 a- Fig. 1 f, no longer superfluous herein
State.
Implement the method shown in Fig. 4, when entering payment class application, first carry out iris recognition checking and/or recognition of face
Checking, in a period of time after being verified, if necessary to move payment using the payment class application, then it can be not required to
Bio-identification checking is carried out again, can improve user's payment speed, so as to lift Consumer's Experience.
Referring to Fig. 5, Fig. 5 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention.The movement is whole
End 500 include fingerprint recognition module 501, recognition of face module 502, iris recognition module 503, application processor AP504 and
Memory 505.Fingerprint recognition module 501, recognition of face module 502, iris recognition module 503, application processor AP504 and
Memory 505 can be connected by communication bus 506, and memory 505 is used to store one or more programs, one or more journeys
Sequence is configured to be performed by AP504, and program includes being used to perform the part or all of method and step in above-mentioned Fig. 2-Fig. 4.
Implement Fig. 5 shown in mobile terminal, in the case where mobile terminal is in screen locking holding state, can enable fingerprint recognition,
Recognition of face and these three bio-identification modes of iris recognition carry out bio-identification simultaneously, as long as there is a kind of bio-identification checking logical
Cross, you can unblock operation is performed to mobile terminal, the unblock success rate of bio-identification can be improved.
Referring to Fig. 6, Fig. 6 is the structural representation of another mobile terminal disclosed in the embodiment of the present invention.The movement is whole
End 600 includes collecting unit 601, authentication unit 602 and unlocking unit 603, wherein:
Collecting unit 601, under being in screen locking holding state in mobile terminal 600, instructed according to biological image acquisition
The first fingerprint image is gathered, gathers the first iris image of the first facial image and collection.
Authentication unit 602, it is pre- whether the matching degree for verifying the first fingerprint image and the first fingerprint template is more than first
If threshold value, verify whether the matching degree of the first facial image and the first face template is more than the first predetermined threshold value, verify the first rainbow
Whether the matching degree of film image and the first iris templates is more than the first predetermined threshold value.
Unlocking unit 603, for being more than the first predetermined threshold value when the matching degree of the first fingerprint image and the first fingerprint template
When, either when the matching degree of the first facial image and the first face template is more than the first predetermined threshold value or when the first iris
When whether the matching degree of image and the first iris templates is more than the first predetermined threshold value, unblock operation is performed to mobile terminal 600.
The implementation of the mobile terminal 600 may refer to the embodiment of the method shown in Fig. 2-4, repeats part and repeats no more.
Implement Fig. 6 shown in mobile terminal, in the case where mobile terminal is in screen locking holding state, can enable fingerprint recognition,
Recognition of face and these three bio-identification modes of iris recognition carry out bio-identification simultaneously, as long as there is a kind of bio-identification checking logical
Cross, you can unblock operation is performed to mobile terminal, the unblock success rate of bio-identification can be improved.
The embodiment of the present invention additionally provides another mobile terminal, as shown in fig. 7, for convenience of description, illustrate only with
The related part of the embodiment of the present invention, particular technique details do not disclose, refer to present invention method part.The movement
Terminal can be to include mobile phone, tablet personal computer, PDA (Personal Digital Assistant, personal digital assistant), POS
Any terminal device such as (Point of Sales, point-of-sale terminal), vehicle-mounted computer, so that mobile terminal is mobile phone as an example:
Fig. 7 is illustrated that the block diagram of the part-structure of the mobile phone related to mobile terminal provided in an embodiment of the present invention.Ginseng
Fig. 7 is examined, mobile phone includes:Radio frequency (Radio Frequency, RF) circuit 910, memory 920, input block 930, display unit
940th, sensor 950, voicefrequency circuit 960, Wireless Fidelity (Wireless Fidelity, WiFi) module 970, processor 980,
And the grade part of power supply 990.It will be understood by those skilled in the art that the handset structure shown in Fig. 7 is not formed to mobile phone
Limit, can include than illustrating more or less parts, either combine some parts or different parts arrangement.
Each component parts of mobile phone is specifically introduced with reference to Fig. 7:
RF circuits 910 can be used for the reception and transmission of information.Generally, RF circuits 910 include but is not limited to antenna, at least one
Individual amplifier, transceiver, coupler, low-noise amplifier (Low Noise Amplifier, LNA), duplexer etc..In addition,
RF circuits 910 can also be communicated by radio communication with network and other equipment.Above-mentioned radio communication can use any communication
Standard or agreement, including but not limited to global system for mobile communications (Global System of Mobile
Communication, GSM), general packet radio service (General Packet Radio Service, GPRS), code division it is more
Location (Code Division Multiple Access, CDMA), WCDMA (Wideband Code Division
Multiple Access, WCDMA), Long Term Evolution (Long Term Evolution, LTE), Email, Short Message Service
(Short Messaging Service, SMS) etc..
Memory 920 can be used for storage software program and module, and processor 980 is stored in memory 920 by operation
Software program and module, so as to perform the various function application of mobile phone and data processing.Memory 920 can mainly include
Storing program area and storage data field, wherein, storing program area can storage program area, the application journey needed at least one function
Sequence etc.;Storage data field can store uses created data etc. according to mobile phone.In addition, memory 920 can be included at a high speed
Random access memory, can also include nonvolatile memory, a for example, at least disk memory, flush memory device or
Other volatile solid-state parts.
Input block 930 can be used for the numeral or character information for receiving input, and produce with the user of mobile phone set with
And the key signals input that function control is relevant.Specifically, input block 930 may include fingerprint recognition module 931, touching display screen
932nd, recognition of face module 933, iris recognition module 934 and other input equipments 935.Fingerprint recognition module 931, it can gather
User is in finger print data thereon.Fingerprint recognition module 931 can include optical finger print identification module, capacitive fingerprint identification module
Module is identified with ultrasonic fingerprint.Recognition of face module 933 is used to gather facial image, and iris recognition module 934 is used to gather
Iris image.It is defeated except fingerprint recognition module 931, touching display screen 932, recognition of face module 933, iris recognition module 934
Other input equipments 935 can also be included by entering unit 930.Specifically, other input equipments 935 can include but is not limited to touch-control
One kind in screen, physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, action bars etc.
It is or a variety of.
Display unit 940 can be used for display by user input information or be supplied to user information and mobile phone it is various
Menu.Display unit 940 may include display screen 941, optionally, can use liquid crystal display (Liquid Crystal
Display, LCD), the form such as Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED) it is aobvious to configure
Display screen 941.Although in the figure 7, fingerprint recognition module 931 and display screen 941 are the parts independent as two to realize mobile phone
Input and input function, it is but in some embodiments it is possible to fingerprint recognition module 931 and display screen 941 is integrated and real
The input of existing mobile phone and playing function.
Mobile phone may also include at least one sensor 950, for example, optical sensor 951, motion sensor 952 and other
Sensor.Specifically, optical sensor 951 may include ambient light sensor and proximity transducer, wherein, ambient light sensor can
The brightness of display screen 941 is adjusted according to the light and shade of ambient light, proximity transducer can be closed aobvious when mobile phone is moved in one's ear
Display screen 941 and/or backlight.As one kind of motion sensor 952, acceleration transducer can detect in all directions (generally
Three axles) acceleration size, size and the direction of gravity are can detect that when static, available for identification mobile phone posture application (ratio
Such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap).Hand
The other sensors such as gyroscope that machine can also configure, barometer, hygrometer, thermometer, infrared ray sensor, it is no longer superfluous herein
State.
Voicefrequency circuit 960, loudspeaker 961, microphone 962 can provide the COBBAIF between user and mobile phone.Audio-frequency electric
Electric signal after the voice data received conversion can be transferred to loudspeaker 961, sound is converted to by loudspeaker 961 by road 960
Signal plays;On the other hand, the voice signal of collection is converted to electric signal by microphone 962, is turned after being received by voicefrequency circuit 960
Voice data is changed to, then after voice data playback process device 980 is handled, through RF circuits 910 to be sent to such as another mobile phone,
Or voice data is played to memory 920 further to handle.
WiFi belongs to short range wireless transmission technology, and mobile phone can help user's transceiver electronicses postal by WiFi module 970
Part, browse webpage and access streaming video etc., it has provided the user wireless broadband internet and accessed.Although Fig. 7 is shown
WiFi module 970, but it is understood that, it is simultaneously not belonging to must be configured into for mobile phone, can not change as needed completely
Become in the essential scope of invention and omit.
Processor 980 is the control centre of mobile phone, using various interfaces and the various pieces of connection whole mobile phone, is led to
Cross operation or perform the software program and/or module being stored in memory 920, and call and be stored in memory 920
Data, the various functions and processing data of mobile phone are performed, so as to carry out integral monitoring to mobile phone.Optionally, processor 980 can wrap
Include one or more processing units;Preferably, processor 980 can integrate application processor and modem processor, wherein, should
Operating system, user interface and application program etc. are mainly handled with processor, modem processor mainly handles radio communication.
It is understood that above-mentioned modem processor can not also be integrated into processor 980.
Mobile phone also includes the power supply 990 (such as battery) to all parts power supply, it is preferred that power supply can pass through power supply pipe
Reason system and processor 980 are logically contiguous, so as to realize management charging, electric discharge and power managed by power-supply management system
Etc. function.
Mobile phone also includes camera 9100, and camera 9100 can include front camera, iris camera and rearmounted take the photograph
As head.
Although being not shown, mobile phone can also include bluetooth module, flash lamp etc., flash lamp can include preposition flash lamp and
Rearmounted flash lamp, preposition flash lamp can be that front camera carries out light filling, and rearmounted flash lamp can be that rear camera is carried out
Light filling.Preposition flash lamp can include preposition visible ray flash lamp and preposition infrared flashlight, and preposition visible ray flash lamp is used for
Light filling is carried out for front camera, preposition infrared flashlight is used to carry out light filling for iris camera.
The embodiment of the present invention also provides a kind of computer-readable storage medium, wherein, the computer-readable storage medium is stored for electricity
The computer program that subdata exchanges, it is any as described in above-mentioned embodiment of the method that the computer program make it that computer performs
A kind of part or all of step of biometric discrimination method.
The embodiment of the present invention also provides a kind of computer program product, and the computer program product includes storing calculating
The non-transient computer-readable recording medium of machine program, the computer program are operable to make computer perform side as described above
The part or all of step of any biometric discrimination method described in method embodiment.
It should be noted that for foregoing each method embodiment, in order to be briefly described, therefore it is all expressed as a series of
Combination of actions, but those skilled in the art should know, the present invention is not limited by described sequence of movement because
According to the present invention, some steps can use other orders or carry out simultaneously.Secondly, those skilled in the art should also know
Know, embodiment described in this description belongs to preferred embodiment, and involved action and module are not necessarily of the invention
It is necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and does not have the portion being described in detail in some embodiment
Point, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed device, can be by another way
Realize.For example, device embodiment described above is only schematical, such as the division of the unit, it is only one kind
Division of logic function, can there is an other dividing mode when actually realizing, such as multiple units or component can combine or can
To be integrated into another system, or some features can be ignored, or not perform.Another, shown or discussed is mutual
Coupling direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING or communication connection of device or unit,
Can be electrical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer-readable access to memory.Based on such understanding, technical scheme substantially or
Person say the part to be contributed to prior art or the technical scheme all or part can in the form of software product body
Reveal and, the computer software product is stored in a memory, including some instructions are causing a computer equipment
(can be personal computer, server or network equipment etc.) performs all or part of each embodiment methods described of the present invention
Step.And foregoing memory includes:USB flash disk, read-only storage (ROM, Read-Only Memory), random access memory
(RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can be with the medium of store program codes.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
To instruct the hardware of correlation to complete by program, the program can be stored in a computer-readable memory, memory
It can include:Flash disk, read-only storage (English:Read-Only Memory, referred to as:ROM), random access device (English:
Random Access Memory, referred to as:RAM), disk or CD etc..
The embodiment of the present invention is described in detail above, specific case used herein to the principle of the present invention and
Embodiment is set forth, and the explanation of above example is only intended to help the method and its core concept for understanding the present invention;
Meanwhile for those of ordinary skill in the art, according to the thought of the present invention, can in specific embodiments and applications
There is change part, in summary, this specification content should not be construed as limiting the invention.
Claims (15)
1. a kind of mobile terminal, it is characterised in that fingerprint recognition module, face including application processor AP, the connection AP
Module and iris recognition module are identified, wherein:
The fingerprint recognition module, under being in screen locking holding state in the mobile terminal, referred to according to biological image acquisition
Order the first fingerprint image of collection;
The recognition of face module, under being in screen locking holding state in the mobile terminal, adopted according to the biometric image
Collect the facial image of instruction acquisition first;
The iris recognition module, under being in screen locking holding state in the mobile terminal, adopted according to the biometric image
Collect the iris image of instruction acquisition first;
Whether the AP, the matching degree for verifying first fingerprint image and the first fingerprint template are more than the first default threshold
Value, verifies whether the matching degree of first facial image and the first face template is more than first predetermined threshold value, verifies institute
Whether the matching degree for stating the first iris image and the first iris templates is more than first predetermined threshold value;
The AP, it is additionally operable to when the matching degree of first fingerprint image and first fingerprint template is more than the first predetermined threshold value
When, or when the matching degree of first facial image and first face template is more than first predetermined threshold value, or
Person is when the matching degree of first iris image and first iris templates is more than first predetermined threshold value, to the shifting
Dynamic terminal performs unblock operation.
2. mobile terminal according to claim 1, it is characterised in that the mobile terminal also includes sensor assembly,
The sensor assembly, for detecting whether the mobile terminal is in preset state;
The AP, it is additionally operable to when the mobile terminal is in the preset state, starts the biological image acquisition instruction, root
According to the fingerprint image of biological image acquisition instruction acquisition first, the first iris image of the first facial image and collection is gathered.
3. mobile terminal according to claim 2, it is characterised in that the preset state includes following at least one:
The mobile terminal is in lifting status, the fingerprint recognition region of the mobile terminal is in pressed state, the movement
The distance between terminal and user's face are in the range of pre-determined distance.
4. according to the mobile terminal described in claim any one of 1-3, it is characterised in that
The recognition of face module, it is additionally operable to, when the mobile terminal starts and pays class application, gather the second facial image;
The iris recognition module, it is additionally operable to, when the mobile terminal starts and pays class application, gather the second iris image;
The AP, is additionally operable to verify whether the matching degree of second facial image and the second face template is more than the second default threshold
Value, verifies whether the matching degree of second iris image and the second iris templates is more than second predetermined threshold value, described the
Two predetermined threshold values are more than first predetermined threshold value;
The AP, it is additionally operable to preset when the matching degree of second facial image and second face template is more than described second
During threshold value, and/or when the matching degree of second iris image and second iris templates is more than second predetermined threshold value
When, it is determined that by payment verification, and enter the payment class application;
The AP, it is additionally operable in the preset time period after the determination passes through payment verification, it is allowed to which the mobile terminal enters
Row exempts from bio-identification payment.
5. according to the mobile terminal described in claim any one of 1-4, it is characterised in that
First fingerprint template includes fingerprint coarse feature, and first face template includes the thick feature of face, first rainbow
Film template includes the thick feature of iris.
6. the mobile terminal according to claim 4 or 5, it is characterised in that it is carefully special that second face template includes face
Sign, second iris templates include the thin feature of iris.
A kind of 7. biometric discrimination method, it is characterised in that including:
In the case where mobile terminal is in screen locking holding state, according to the fingerprint image of biological image acquisition instruction acquisition first, collection the
The first iris image of one facial image and collection;
Verify whether the matching degree of first fingerprint image and the first fingerprint template is more than the first predetermined threshold value, checking described the
Whether the matching degree of one facial image and the first face template is more than first predetermined threshold value, verifies first iris image
Whether it is more than first predetermined threshold value with the matching degree of the first iris templates;
If the matching degree of first fingerprint image and first fingerprint template is more than the first predetermined threshold value, if or described the
The matching degree of one facial image and first face template is more than first predetermined threshold value, if or the first iris figure
Picture and the matching degree of first iris templates are more than first predetermined threshold value, and unblock operation is performed to the mobile terminal.
8. according to the method for claim 7, it is characterised in that described according to the fingerprint of biological image acquisition instruction acquisition first
Image, before gathering the first iris image of the first facial image and collection, methods described includes:
Detect whether the mobile terminal is in preset state;
If the mobile terminal is in the preset state, starts the biological image acquisition instruction, perform described according to biology
Image capture instruction gathers the first fingerprint image, the step of gathering the first facial image and gather the first iris image.
9. according to the method for claim 8, it is characterised in that the preset state includes following at least one:
The mobile terminal is in lifting status, the fingerprint recognition region of the mobile terminal is in pressed state, the movement
The distance between terminal and user's face are in the range of pre-determined distance.
10. according to the method described in claim any one of 7-9, it is characterised in that described to perform unblock to the mobile terminal
After operation, methods described also includes:
When the mobile terminal, which starts, pays class application, the second iris image of the second facial image and collection is gathered;
Verify whether the matching degree of second facial image and the second face template is more than the second predetermined threshold value, checking described the
Whether the matching degree of two iris images and the second iris templates is more than second predetermined threshold value, and second predetermined threshold value is more than
First predetermined threshold value;
If the matching degree of second facial image and second face template is more than second predetermined threshold value, and/or institute
State the second iris image and the matching degree of second iris templates is more than second predetermined threshold value, it is determined that being tested by payment
Card, and enter the payment class application;
In the preset time period after the determination passes through payment verification, it is allowed to which the mobile terminal carries out exempting from bio-identification branch
Pay.
11. according to the method described in claim any one of 7-10, it is characterised in that first fingerprint template includes fingerprint coarse
Feature, first face template include the thick feature of face, and first iris templates include the thick feature of iris.
12. the method according to claim 10 or 11, it is characterised in that it is carefully special that second face template includes face
Sign, second iris templates include the thin feature of iris.
A kind of 13. mobile terminal, it is characterised in that including collecting unit, authentication unit and unlocking unit, wherein:
The collecting unit, under being in screen locking holding state in the mobile terminal, adopted according to biological image acquisition instruction
Collect the first fingerprint image, gather the first iris image of the first facial image and collection;
The authentication unit, it is pre- whether the matching degree for verifying first fingerprint image and the first fingerprint template is more than first
If threshold value, verify whether the matching degree of first facial image and the first face template is more than first predetermined threshold value, test
Whether the matching degree for demonstrate,proving first iris image and the first iris templates is more than first predetermined threshold value;
The unlocking unit, for being preset when the matching degree of first fingerprint image and first fingerprint template is more than first
During threshold value, or when the matching degree of first facial image and first face template is more than first predetermined threshold value
When, or when whether the matching degree of first iris image and first iris templates is more than first predetermined threshold value
When, unblock operation is performed to the mobile terminal.
14. a kind of mobile terminal, it is characterised in that including application processor AP, connect fingerprint recognition module, the face of the AP
Module, iris recognition module and memory are identified, the memory is used to store one or more programs, one or more
Individual program is configured to be performed by the AP, and described program includes being used to perform the side as described in claim any one of 7-12
Method.
15. a kind of computer-readable recording medium, it is characterised in that the computer-readable recording medium is used to store electron number
According to the computer program of exchange, wherein, the computer program causes computer to perform as described in claim any one of 7-12
Method.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710733119.3A CN107545166B (en) | 2017-08-24 | 2017-08-24 | Biometric identification method and related product |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710733119.3A CN107545166B (en) | 2017-08-24 | 2017-08-24 | Biometric identification method and related product |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107545166A true CN107545166A (en) | 2018-01-05 |
CN107545166B CN107545166B (en) | 2021-04-16 |
Family
ID=60957785
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710733119.3A Active CN107545166B (en) | 2017-08-24 | 2017-08-24 | Biometric identification method and related product |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107545166B (en) |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108465647A (en) * | 2018-03-28 | 2018-08-31 | 湖州华科信息咨询有限公司 | A kind of automatic sorting method and device for cell recycling duds object |
CN108650247A (en) * | 2018-04-26 | 2018-10-12 | 维沃移动通信有限公司 | A kind of authentication method of user identity, mobile terminal |
CN108710833A (en) * | 2018-04-26 | 2018-10-26 | 维沃移动通信有限公司 | A kind of authentication method of user identity, mobile terminal |
CN108734001A (en) * | 2018-04-26 | 2018-11-02 | 维沃移动通信有限公司 | A kind of authentication method of user identity, mobile terminal |
CN108769410A (en) * | 2018-05-29 | 2018-11-06 | 维沃移动通信有限公司 | A kind of method for sending information and mobile terminal |
CN108763894A (en) * | 2018-04-26 | 2018-11-06 | 维沃移动通信有限公司 | A kind of authentication method of user identity, mobile terminal |
CN109214344A (en) * | 2018-09-16 | 2019-01-15 | 刘兴丹 | A kind of cloud timeliness verifying recognition of face and associated method, apparatus |
CN109299948A (en) * | 2018-09-26 | 2019-02-01 | 广东小天才科技有限公司 | Red packet sending method and device, wearable device and storage medium |
CN109863505A (en) * | 2019-01-22 | 2019-06-07 | 深圳市汇顶科技股份有限公司 | Method, processor and the electronic equipment of fingerprint recognition |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104573462A (en) * | 2015-01-30 | 2015-04-29 | 北京得意音通技术有限责任公司 | Fingerprint and voiceprint dual-authentication method and fingerprint and voiceprint collector |
CN104778392A (en) * | 2015-04-15 | 2015-07-15 | 苏州海博智能***有限公司 | Privilege validation method and system on basis of biological identification |
CN105447371A (en) * | 2015-12-29 | 2016-03-30 | 深圳市亚略特生物识别科技有限公司 | Biological identity identification and verification terminal and electronic system |
CN105740683A (en) * | 2016-01-20 | 2016-07-06 | 北京信安盟科技有限公司 | Multi-factor, multi-engine and human-computer combined identity verification method and system |
-
2017
- 2017-08-24 CN CN201710733119.3A patent/CN107545166B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104573462A (en) * | 2015-01-30 | 2015-04-29 | 北京得意音通技术有限责任公司 | Fingerprint and voiceprint dual-authentication method and fingerprint and voiceprint collector |
CN104778392A (en) * | 2015-04-15 | 2015-07-15 | 苏州海博智能***有限公司 | Privilege validation method and system on basis of biological identification |
CN105447371A (en) * | 2015-12-29 | 2016-03-30 | 深圳市亚略特生物识别科技有限公司 | Biological identity identification and verification terminal and electronic system |
CN105740683A (en) * | 2016-01-20 | 2016-07-06 | 北京信安盟科技有限公司 | Multi-factor, multi-engine and human-computer combined identity verification method and system |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108465647A (en) * | 2018-03-28 | 2018-08-31 | 湖州华科信息咨询有限公司 | A kind of automatic sorting method and device for cell recycling duds object |
CN108734001B (en) * | 2018-04-26 | 2020-10-02 | 维沃移动通信有限公司 | User identity authentication method and mobile terminal |
CN108710833A (en) * | 2018-04-26 | 2018-10-26 | 维沃移动通信有限公司 | A kind of authentication method of user identity, mobile terminal |
CN108734001A (en) * | 2018-04-26 | 2018-11-02 | 维沃移动通信有限公司 | A kind of authentication method of user identity, mobile terminal |
CN108763894A (en) * | 2018-04-26 | 2018-11-06 | 维沃移动通信有限公司 | A kind of authentication method of user identity, mobile terminal |
CN108650247A (en) * | 2018-04-26 | 2018-10-12 | 维沃移动通信有限公司 | A kind of authentication method of user identity, mobile terminal |
CN108710833B (en) * | 2018-04-26 | 2020-10-02 | 维沃移动通信有限公司 | User identity authentication method and mobile terminal |
CN108763894B (en) * | 2018-04-26 | 2020-10-02 | 维沃移动通信有限公司 | User identity authentication method and mobile terminal |
CN108769410A (en) * | 2018-05-29 | 2018-11-06 | 维沃移动通信有限公司 | A kind of method for sending information and mobile terminal |
CN108769410B (en) * | 2018-05-29 | 2021-12-24 | 维沃移动通信有限公司 | Information sending method and mobile terminal |
CN109214344A (en) * | 2018-09-16 | 2019-01-15 | 刘兴丹 | A kind of cloud timeliness verifying recognition of face and associated method, apparatus |
CN109299948A (en) * | 2018-09-26 | 2019-02-01 | 广东小天才科技有限公司 | Red packet sending method and device, wearable device and storage medium |
CN109299948B (en) * | 2018-09-26 | 2021-03-02 | 广东小天才科技有限公司 | Red packet sending method and device, wearable device and storage medium |
CN109863505A (en) * | 2019-01-22 | 2019-06-07 | 深圳市汇顶科技股份有限公司 | Method, processor and the electronic equipment of fingerprint recognition |
Also Published As
Publication number | Publication date |
---|---|
CN107545166B (en) | 2021-04-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107545166A (en) | Biometric discrimination method and Related product | |
CN107480609A (en) | Fingerprint identification method and related product | |
CN107580114A (en) | Biometric discrimination method, mobile terminal and computer-readable recording medium | |
CN107463883A (en) | Biometric discrimination method and Related product | |
CN107480610A (en) | Fingerprint identification method and related product | |
CN106096354B (en) | A kind of unlocked by fingerprint method and terminal | |
CN107451449A (en) | Bio-identification unlocking method and Related product | |
CN107292290B (en) | Face living body identification method and related product | |
CN107153818A (en) | Optical finger print verification method and Related product | |
CN106055961B (en) | A kind of unlocked by fingerprint method and mobile terminal | |
CN107145886A (en) | Optical ftngetpnnt acquisidon method and Related product | |
CN107437009A (en) | Authority control method and related product | |
CN107239737A (en) | A kind of optical finger print recognition methods and Related product | |
CN107527020A (en) | Biometric discrimination method and Related product | |
CN106022075B (en) | A kind of unlocked by fingerprint method and terminal | |
CN107220592A (en) | A kind of optical ftngetpnnt acquisidon method and Related product | |
CN107766824A (en) | Face identification method, mobile terminal and computer-readable recording medium | |
CN106022058B (en) | A kind of unlocked by fingerprint method and terminal | |
CN107403149A (en) | Iris identification method and related product | |
CN106022071A (en) | Fingerprint unlocking method and terminal | |
CN110162954A (en) | Right management method and Related product | |
CN108781234A (en) | Function control method and terminal | |
CN107193474A (en) | Solve lock control method and Related product | |
CN107527013A (en) | Identify the method and Related product of iris live body | |
CN107451547A (en) | Identify the method and Related product of live body |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
CB02 | Change of applicant information |
Address after: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Applicant after: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. Address before: Changan town in Guangdong province Dongguan 523860 usha Beach Road No. 18 Applicant before: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS Corp.,Ltd. |
|
CB02 | Change of applicant information | ||
GR01 | Patent grant | ||
GR01 | Patent grant |