CN106096585A - A kind of auth method and terminal - Google Patents
A kind of auth method and terminal Download PDFInfo
- Publication number
- CN106096585A CN106096585A CN201610493419.4A CN201610493419A CN106096585A CN 106096585 A CN106096585 A CN 106096585A CN 201610493419 A CN201610493419 A CN 201610493419A CN 106096585 A CN106096585 A CN 106096585A
- Authority
- CN
- China
- Prior art keywords
- threshold value
- characteristic information
- predetermined threshold
- image
- terminal
- 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.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Ophthalmology & Optometry (AREA)
- Computer Security & Cryptography (AREA)
- Computer Hardware Design (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Collating Specific Patterns (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
Embodiments provide a kind of auth method, including: obtaining local facial image, wherein, described local facial image includes the outer image of eye and ophthalmic image；According to the outer Image Acquisition face characteristic information of described eye, and according to described ophthalmic Image Acquisition iris feature information；Judge whether described face characteristic information is preset characteristic information with first and mated；The most then judge whether described iris feature information is preset characteristic information with second and mated；The most then pass through authentication.Accordingly, the embodiment of the present invention additionally provides a kind of terminal.Use the embodiment of the present invention, it is possible to achieve improve the accuracy rate of authentication based on iris recognition technology.
Description
Technical field
The present invention relates to security technology area, particularly relate to a kind of auth method and terminal.
Background technology
Iris recognition technology is a kind of to utilize the feature of iris region in eye image to carry out the bio-identification of identification
Technology.In implementing, referring to Fig. 6, eye image is mainly made up of sclera, iris and three regions of pupil as shown in the figure,
Iris is the annular section between sclera and pupil, (includes toroidal, lines, speckle or hat according to the feature of iris region
Shape thing etc.) just can realize identification.
The difficult point that it is pointed out that iris recognition technology is to get standard compliant iris image, and reason is as follows: its
One, the area of iris is less, it is desirable to the enlargement ratio of photographic head is sufficiently large；Its two, the focusing of iris is the most difficult, it is desirable to user
Fitness high；Its three, Asian iris color is deeper, it is desirable to use high-quality infrared illumination.Therefore, if depending merely on rainbow
Film identification technology carries out authentication, does not once get standard compliant iris image, then the accuracy rate of authentication is the highest.
Summary of the invention
The embodiment of the present invention provides a kind of auth method and terminal, it is possible to achieve improve based on iris recognition technology
The accuracy rate of authentication.
A kind of auth method that the embodiment of the present invention provides, including:
Obtaining local facial image, described local facial image includes the outer image of eye and ophthalmic image；
According to the outer Image Acquisition face characteristic information of described eye, and believe according to described ophthalmic Image Acquisition iris feature
Breath；
Judge whether described face characteristic information is preset characteristic information with first and mated；
The most then judge whether described iris feature information is preset characteristic information with second and mated；
The most then pass through authentication.
Accordingly, the embodiment of the present invention additionally provides a kind of terminal, including:
Image acquisition unit, is used for obtaining local facial image, and described local facial image includes the outer image of eye and ophthalmic
Image；
Feature acquiring unit, is used for according to the outer Image Acquisition face characteristic information of described eye, and according to described ophthalmic figure
As obtaining iris feature information；
First judging unit, is used for judging whether described face characteristic information is preset characteristic information with first and mated；
Second judging unit, for the most then judging whether described iris feature information presets characteristic information with second
Join；
It is verified unit, for the most then passing through authentication.
In the embodiment of the present invention, terminal first obtains and includes the outer image of eye and the local facial image of ophthalmic image, then root
According to the outer Image Acquisition face characteristic information of eye, and according to ophthalmic Image Acquisition iris feature information, the most first to face characteristic
Information is verified, verifies iris feature information again, thus realize authentication after being verified, owing to successively experiencing
Twice checking, therefore can realize improving the accuracy rate of authentication.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, required use in embodiment being described below
Accompanying drawing be briefly described, it should be apparent that, below describe in accompanying drawing be some embodiments of the present invention, for this area
From the point of view of those of ordinary skill, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of a kind of auth method that the embodiment of the present invention provides；
Fig. 2 is the schematic flow sheet of the another kind of auth method that the embodiment of the present invention provides；
Fig. 3 is the structural representation of a kind of terminal that the embodiment of the present invention provides；
Fig. 4 is the structural representation of a kind of threshold setting unit that the embodiment of the present invention provides；
Fig. 5 is the structural representation of the another kind of terminal that the embodiment of the present invention provides；
Fig. 6 is the schematic diagram of a kind of eye image that the embodiment of the present invention provides；
Fig. 7 is the schematic diagram of a kind of local facial image that the embodiment of the present invention provides.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is a part of embodiment of the present invention rather than whole embodiments wholely.Based on this
Embodiment in bright, the every other enforcement that those of ordinary skill in the art are obtained under not making creative work premise
Example, broadly falls into the scope of protection of the invention.
The auth method that the embodiment of the present invention provides is implemented in terminal, and described terminal includes smart mobile phone, flat board electricity
Brain, intelligence wearable device, notebook computer, desktop computer, digital audio & video players, electronic reader, handheld game machine
With electronic equipments such as vehicle electronic devices, this terminal is at least configured with photographic head.
Fig. 1 is the schematic flow sheet of a kind of auth method in the embodiment of the present invention.As shown in the figure in the present embodiment
The flow process of auth method may include that
S101, obtains local facial image, and wherein, described local facial image includes the outer image of eye and ophthalmic image.
Optionally, terminal, before obtaining local facial image, first determines the safety etc. required by current pending task
Level.Wherein, current pending task refers to trigger the task of authentication, such as: current pending task is to release screen locking to appoint
Business, releases screen locking task and can trigger authentication, by just releasing screen locking after authentication；And for example: the most pending
Task is network payment task, and network payment task also can trigger authentication, by just carrying out after authentication
Pay.
Further, terminal, according to the safe class required by current pending task, sets the first predetermined threshold value and
Two predetermined threshold value.Wherein, the first predetermined threshold value and the second predetermined threshold value are percent values, respectively represent require recognition of face and
The matching rate that iris identification reaches.Optionally, the method for terminal profile the first predetermined threshold value and the second predetermined threshold value may is that elder generation
The second predetermined threshold value is set, it is desirable to the size of the second predetermined threshold value and peace according to the safe class required by current pending task
The height positive correlation (i.e. safe class is the highest, and the second predetermined threshold value is the biggest) of congruence level, further according to the second predetermined threshold value set
Set the first predetermined threshold value, it is desirable to (i.e. second is default for the size of the first predetermined threshold value and the size negative correlation of the second predetermined threshold value
Threshold value is the biggest, and the first predetermined threshold value is the least).Such as: assume that the safe class of current pending task is relatively low, then can be with people
Face is identified as main, and iris identification is auxiliary, i.e. sets the first predetermined threshold value as 90%, and the second predetermined threshold value is 30%；And for example: assume
The safe class of current pending task is higher, then can be auxiliary with recognition of face, iris identification be main, i.e. sets first pre-
If threshold value is 25%, the second predetermined threshold value is 95%.
It is pointed out that the reliability of iris identification higher than recognition of face, but the requirement that iris identification is to authentication image
Being higher than recognition of face, therefore the process versus busy of iris identification is a bit, and operation relatively low for safe class own is relatively
Task frequently, as released screen locking task, carries out the iris identification of high matching rate, it is clear that be irrational every time.Therefore, originally
Inventive embodiments is when the safe class of current pending task is relatively low, and based on recognition of face, iris identification is auxiliary so that right
The requirement of authentication image will not be the highest, improves the experience of user.
Concrete, terminal can be under white light and infrared illumination, by photographic head shooting local facial image.Wherein,
White light can be nature light can also be terminal provide high light, infrared light is to improve iris district in the image of local facial
The definition in territory.In the embodiment of the present invention, local facial image refers to eyes and the image of peripheral region thereof in face, such as Fig. 7
Shown in.It is pointed out that the reason of only shooting local facial image is so that the relative area of iris region is relatively big, just
In extracting iris feature information.
Optionally, terminal be may is that when being detected by photographic head by the method for photographic head shooting local facial image
When the ratio of the outer image of eye and ophthalmic image is in preset ratio scope, shooting obtains face topography.Refer to Fig. 7, eye
In interior image such as figure 1. shown in, in the outer image such as figure of eye 2. shown in, preset ratio scope can be to be preset by equipment vendors
, it being not especially limited here, such as preset ratio is 10:1.It is pointed out that and control the outer image of eye and ophthalmic image
Ratio, so that the area in two regions is moderate, has both been easy to extract face characteristic information, is easy to again extract iris feature information.
S102, according to the outer Image Acquisition face characteristic information of described eye and special according to described ophthalmic Image Acquisition iris
Reference ceases.
Concrete, terminal is according to the outer image zooming-out face characteristic information of the eye in the image of local facial, and according to local
Ophthalmic image zooming-out iris feature information in facial image.Wherein, face characteristic information can include eye-shaped, camber, eyelid
The information such as the distance between feature, nevus and region of interest, iris feature information can include toroidal, lines, speckle or hat
The information such as shape thing.
S103, it is judged that whether described face characteristic information presets characteristic information with first mates.
Wherein, first to preset characteristic information be user's typing in advance, such as the face of owner's typing in advance oneself of terminal
Characteristic information first presets characteristic information as this.
It is pointed out that described coupling refers to that the matching rate of two characteristic informations reaches designated value, it should be understood that, even if
Being same user, the face characteristic information extracted when the face characteristic information of its typing in advance is with checking also will not be identical,
General, when the matching rate of two characteristic informations reaches 90%, then it can be assumed that face mates.
Optionally, if being preset with the first predetermined threshold value, then whether terminal judges face characteristic information is preset with first
The method of characteristic information coupling may is that and judges that face characteristic information and the first matching rate presetting between characteristic information are the biggest
In the first predetermined threshold value.For example, it is assumed that the safe class of current pending task is relatively low, the first predetermined threshold value set as
90%, then whether terminal judges face characteristic information and first presets the matching rate between characteristic information more than 90%.
S104, the most then judge whether described iris feature information is preset characteristic information with second and mated.
Concrete, if terminal judges that face characteristic information is preset characteristic information and mated (optional, if terminal judges with first
Face characteristic information and first presets matching rate between characteristic information more than the first predetermined threshold value), then and then judge iris spy
Whether reference breath presets characteristic information with second mates；If terminal judges that face characteristic information does not presets characteristic information not with first
Join (optional, if terminal judges that face characteristic information and first is preset the matching rate between characteristic information and is not more than first and presets
Threshold value), then can not pass through authentication.
In like manner, second to preset characteristic information be user's typing in advance, such as the iris of owner's typing in advance oneself of terminal
Characteristic information second presets characteristic information as this.
Accordingly, described coupling refers to that the matching rate of two characteristic informations reaches designated value, it should be understood that, even same
User, the iris feature information extracted when the iris feature information of its typing in advance is with checking also will not be identical, but compares
Not so big in face characteristic information difference, general, when the matching rate of two iris feature information reaches 95%, the most permissible
Assert iris coupling.
Optionally, if being preset with the second predetermined threshold value, then whether terminal judges iris feature information is preset with second
The method of characteristic information coupling may is that and judges that iris feature information and the second matching rate presetting between characteristic information are the biggest
In the second predetermined threshold value.For example, it is assumed that the safe class of current pending task is higher, the second predetermined threshold value set as
95%, then whether terminal judges iris feature information and second presets the matching rate between characteristic information more than 95%.
S105, the most then pass through authentication.
Concrete, if terminal judges that iris feature information is preset characteristic information and mated (optional, if terminal judges with second
Iris feature information and second is preset the matching rate between characteristic information and is not more than the second predetermined threshold value), then assert and pass through identity
Checking；If terminal judges that iris feature information is preset characteristic information and do not mated (optional, if terminal judges iris feature with second
Information and second is preset the matching rate between characteristic information and is not more than the second predetermined threshold value), then can not pass through authentication.
Further alternative, terminal is by, after authentication, performing the most pending task.Such as: terminal is passed through
After authentication, release screen locking；And for example: terminal is by, after authentication, carrying out network payment.
In the embodiment of the present invention, terminal first obtains and includes the outer image of eye and the local facial image of ophthalmic image, then root
According to the outer Image Acquisition face characteristic information of eye, and according to ophthalmic Image Acquisition iris feature information, the most first to face characteristic
Information is verified, verifies iris feature information again, thus realize authentication after being verified, owing to successively experiencing
Twice checking, therefore can improve the accuracy rate of authentication.
Fig. 2 is the schematic flow sheet of another kind of auth method in the embodiment of the present invention.As shown in the figure in the present embodiment
The flow process of auth method may include that
S201, determines the safe class required by current pending task.
Wherein, current pending task refers to trigger the task of authentication, such as: current pending task is to release lock
Screen task, releases screen locking task and can trigger authentication, by just releasing screen locking after authentication；And for example: currently treat
Execution task is network payment task, and network payment task also can trigger authentication, by just entering after authentication
Row pays.
S202, according to the safe class required by described current pending task, sets the first predetermined threshold value and second pre-
If threshold value.
Wherein, the first predetermined threshold value and the second predetermined threshold value are percent values, represent respectively and require recognition of face and rainbow
The matching rate that film identification reaches.Optionally, the method for terminal profile the first predetermined threshold value and the second predetermined threshold value may is that first root
The second predetermined threshold value is set, it is desirable to the size of the second predetermined threshold value and safety according to the safe class required by current pending task
The height positive correlation (i.e. safe class is the highest, and the second predetermined threshold value is the biggest) of grade, sets further according to the second predetermined threshold value set
Fixed first predetermined threshold value, it is desirable to (i.e. second presets threshold to the size negative correlation of the size of the first predetermined threshold value and the second predetermined threshold value
Being worth the biggest, the first predetermined threshold value is the least).
Such as: assume that the safe class of current pending task is relatively low, then can be based on recognition of face, iris identification
Being auxiliary, i.e. set the first predetermined threshold value as 90%, the second predetermined threshold value is 30%；And for example: assume the peace of current pending task
The most higher ranked, then can be auxiliary with recognition of face, iris identification be main, i.e. set the first predetermined threshold value as 25%, second
Predetermined threshold value is 95%.
It is pointed out that the reliability of iris identification higher than recognition of face, but the requirement that iris identification is to authentication image
Being higher than recognition of face, therefore the process versus busy of iris identification is a bit, and operation relatively low for safe class own is relatively
Task frequently, as released screen locking task, carries out the iris identification of high matching rate, it is clear that be irrational every time.Therefore, originally
Inventive embodiments is when the safe class of current pending task is relatively low, and based on recognition of face, iris identification is auxiliary so that right
The requirement of authentication image will not be the highest, improves the experience of user.
S203, obtains local facial image, and wherein, described local facial image includes the outer image of eye and ophthalmic image.
Concrete, terminal can be under white light and infrared illumination, by photographic head shooting local facial image.Wherein,
White light can be nature light can also be terminal provide high light, infrared light is to improve iris district in the image of local facial
The definition in territory.In the embodiment of the present invention, local facial image refers to eyes and the image of peripheral region thereof in face, such as Fig. 7
Shown in.It is pointed out that the reason of only shooting local facial image is so that the relative area of iris region is relatively big, just
In extracting iris feature information.
Optionally, terminal be may is that when being detected by photographic head by the method for photographic head shooting local facial image
When the ratio of the outer image of eye and ophthalmic image is in preset ratio scope, shooting obtains face topography.Refer to Fig. 7, eye
In interior image such as figure 1. shown in, in the outer image such as figure of eye 2. shown in, preset ratio scope can be to be preset by equipment vendors
, it being not especially limited here, such as preset ratio is 10:1.It is pointed out that and control the outer image of eye and ophthalmic image
Ratio, so that the area in two regions is moderate, has both been easy to extract face characteristic information, is easy to again extract iris feature information.
S204, according to the outer Image Acquisition face characteristic information of described eye and special according to described ophthalmic Image Acquisition iris
Reference ceases.
Concrete, terminal is according to the outer image zooming-out face characteristic information of the eye in the image of local facial, and according to local
Ophthalmic image zooming-out iris feature information in facial image.Wherein, face characteristic information can include eye-shaped, camber, eyelid
The information such as the distance between feature, nevus and region of interest, iris feature information can include toroidal, lines, speckle or hat
The information such as shape thing.
S205, it is judged that it is the most pre-more than first that described face characteristic information and first presets the matching rate between characteristic information
If threshold value.
Wherein, first to preset characteristic information be user's typing in advance, such as the face of owner's typing in advance oneself of terminal
Characteristic information first presets characteristic information as this.
Concrete, whether terminal judges face characteristic information and first presets the matching rate between characteristic information more than first
Predetermined threshold value, the most then perform step S206, if it is not, then can not pass through authentication.For example, it is assumed that current pending task
Safe class relatively low, the first predetermined threshold value set is as 90%, then terminal judges face characteristic information with first preset spy
Matching rate between reference breath whether more than 90%, the most then performs step S206, if it is not, then can not pass through authentication.
S206, it is judged that it is the most pre-more than second that described iris feature information and second presets the matching rate between characteristic information
If threshold value.
In like manner, second to preset characteristic information be user's typing in advance, such as the iris of owner's typing in advance oneself of terminal
Characteristic information second presets characteristic information as this.
Concrete, whether terminal judges iris feature information and second presets the matching rate between characteristic information more than second
Predetermined threshold value, the most then perform step S207, if it is not, then can not pass through authentication.For example, it is assumed that current pending task
Safe class higher, the second predetermined threshold value set is as 95%, then terminal judges iris feature information with second preset spy
Matching rate between reference breath whether more than 95%, the most then performs step S207, if it is not, then can not pass through authentication.
S207, passes through authentication.
Further alternative, terminal is by, after authentication, performing the most pending task.Such as: terminal is passed through
After authentication, release screen locking；And for example: terminal is by, after authentication, carrying out network payment.
In the embodiment of the present invention, terminal first obtains and includes the outer image of eye and the local facial image of ophthalmic image, then root
According to the outer Image Acquisition face characteristic information of eye, and according to ophthalmic Image Acquisition iris feature information, the most first to face characteristic
Information is verified, verifies iris feature information again, thus realize authentication after being verified, owing to successively experiencing
Twice checking, therefore can improve the accuracy rate of authentication.
Fig. 3 is the structural representation of a kind of terminal in the embodiment of the present invention.Terminal in the embodiment of the present invention as shown in the figure
At least can include image acquisition unit 310, feature acquiring unit the 320, first judging unit the 330, second judging unit 340 with
And it is verified unit 350, wherein:
Image acquisition unit 310, is used for obtaining local facial image, and wherein, described local facial image includes scheming outside eye
Picture and ophthalmic image.
Concrete, image acquisition unit 310 can shoot local facial by photographic head under white light and infrared illumination
Image.Wherein, white light can be nature light can also be terminal provide high light, infrared light is to improve local facial figure
The definition of iris region in Xiang.In the embodiment of the present invention, local facial image refers to eyes in face and peripheral region thereof
Image, as shown in Figure 7.It is pointed out that the reason of only shooting local facial image is so that the opposite face of iris region
Long-pending bigger, it is simple to extract iris feature information.
Optionally, image acquisition unit 310 be may is that when by taking the photograph by the method for photographic head shooting local facial image
When detecting that the ratio of the outer image of eye and ophthalmic image is in preset ratio scope as head, shooting obtains face topography.Please
Refering to Fig. 7, in ophthalmic image such as figure 1. shown in, in the outer image such as figure of eye 2. shown in, preset ratio scope can be by instrument factory
Business is set in advance, is not especially limited here, and such as preset ratio is 10:1.It is pointed out that the control outer image of eye with
The ratio of ophthalmic image, so that the area in two regions is moderate, has both been easy to extract face characteristic information, is easy to again extract rainbow
Film characteristic information.
Feature acquiring unit 320, is used for according to the outer Image Acquisition face characteristic information of described eye, and according to described ophthalmic
Image Acquisition iris feature information.
Concrete, feature acquiring unit 320 according to the outer image zooming-out face characteristic information of the eye in the image of local facial, with
And according to the ophthalmic image zooming-out iris feature information in the image of local facial.Wherein, face characteristic information can include eye-shaped,
The information such as the distance between camber, eyelid feature, nevus and region of interest, iris feature information can include toroidal, lines,
The information such as speckle or corona.
First judging unit 330, is used for judging whether described face characteristic information is preset characteristic information with first and mated.
Wherein, first to preset characteristic information be user's typing in advance, such as the face of owner's typing in advance oneself of terminal
Characteristic information first presets characteristic information as this.
It is pointed out that described coupling refers to that the matching rate of two characteristic informations reaches designated value, it should be understood that, even if
Being same user, the face characteristic information extracted when the face characteristic information of its typing in advance is with checking also will not be identical,
General, when the matching rate of two characteristic informations reaches 90%, then it can be assumed that face mates.
Optionally, if being preset with the first predetermined threshold value, then whether the first judging unit 330 judges face characteristic information
Preset with first the method that characteristic information mates may is that judge face characteristic information and first preset between characteristic information
Whether join rate more than the first predetermined threshold value.For example, it is assumed that the safe class of current pending task is relatively low, the first of setting is preset
Threshold value is 90%, then the first judging unit 330 judges face characteristic information and the first matching rate presetting between characteristic information
Whether more than 90%.
Second judging unit 340, for the most then judging whether described iris feature information presets characteristic information with second
Coupling.
Concrete, if the first judging unit 330 judges that face characteristic information is preset characteristic information with first and mated (optional
, if to judge face characteristic information and the first matching rate presetting between characteristic information pre-more than first for the first judging unit 330
If threshold value), then the second judging unit 340 and then judge whether iris feature information is preset characteristic information with second and mated.
In like manner, second to preset characteristic information be user's typing in advance, such as the iris of owner's typing in advance oneself of terminal
Characteristic information second presets characteristic information as this.
Accordingly, described coupling refers to that the matching rate of two characteristic informations reaches designated value, it should be understood that, even same
User, the iris feature information extracted when the iris feature information of its typing in advance is with checking also will not be identical, but compares
Not so big in face characteristic information difference, general, when the matching rate of two iris feature information reaches 95%, the most permissible
Assert iris coupling.
Optionally, if being preset with the second predetermined threshold value, then whether the second judging unit 340 judges iris feature information
Preset with second the method that characteristic information mates may is that judge iris feature information and second preset between characteristic information
Whether join rate more than the second predetermined threshold value.For example, it is assumed that the safe class of current pending task is higher, the second of setting is preset
Threshold value is 95%, then the second judging unit 340 judges iris feature information and the second matching rate presetting between characteristic information
Whether more than 95%.
It is verified unit 350, for the most then passing through authentication.
Concrete, if the second judging unit 340 judges that iris feature information is preset characteristic information with second and mated (optional
, if the second judging unit 340 judges that iris feature information and the second matching rate presetting between characteristic information are not more than second
Predetermined threshold value), then it is verified unit 350 identification and passes through authentication.
Optionally, referring to Fig. 3, the terminal in the embodiment of the present invention can also include level de-termination unit as shown in the figure
360 and threshold setting unit 370, wherein:
Level de-termination unit 360, for determining the safe class required by current pending task.
Optionally, before obtaining local facial image, level de-termination unit 360 first determines that current pending task is wanted
The safe class asked.Wherein, current pending task refers to trigger the task of authentication, such as: current pending task is
Release screen locking task, release screen locking task and can trigger authentication, by screen locking just can be released after authentication；And for example:
Current pending task is network payment task, and network payment task also can trigger authentication, by after authentication
Can pay.
Threshold setting unit 370, for according to the safe class required by described current pending task, sets described the
One predetermined threshold value and the second predetermined threshold value.In implementing, described threshold setting unit 370 can wrap the most further
Include the first setup unit 371 and the second setup unit 372, wherein:
First setup unit 371, for according to the safe class required by described current pending task, sets described the
Two predetermined threshold value, wherein, the size of described second predetermined threshold value and the height positive correlation of described safe class.
Second setup unit 372, for according to described second predetermined threshold value set, setting described first predetermined threshold value,
Wherein, the size of described first predetermined threshold value and the size negative correlation of described second predetermined threshold value.
It is pointed out that the reliability of iris identification higher than recognition of face, but the requirement that iris identification is to authentication image
Being higher than recognition of face, therefore the process versus busy of iris identification is a bit, and operation relatively low for safe class own is relatively
Task frequently, as released screen locking task, carries out the iris identification of high matching rate, it is clear that be irrational every time.Therefore, originally
Inventive embodiments is when the safe class of current pending task is relatively low, and based on recognition of face, iris identification is auxiliary so that right
The requirement of authentication image will not be the highest, improves the experience of user.
Fig. 5 is the structural representation of a kind of terminal in the embodiment of the present invention, as it is shown in figure 5, this terminal may include that to
Few processor 501, such as a CPU, at least one communication bus 502, at least one photographic head 503, memorizer 504.Wherein,
Communication bus 502 is for realizing the connection communication between these assemblies；Photographic head 503 is used for shooting image；Memorizer 504 is permissible
It is high-speed RAM memorizer, it is also possible to be non-volatile memorizer (non-volatile memory), for example, at least one disk
Memorizer.Optionally, memorizer 504 can also is that at least one is located remotely from the storage device of aforementioned processor 501.Memorizer
Storing batch processing code in 504, processor 501, for calling the program code of storage in memorizer 504, performs following behaviour
Make:
Obtaining local facial image, wherein, described local facial image includes the outer image of eye and ophthalmic image；
According to the outer Image Acquisition face characteristic information of described eye, and believe according to described ophthalmic Image Acquisition iris feature
Breath；
Judge whether described face characteristic information is preset characteristic information with first and mated；
The most then judge whether described iris feature information is preset characteristic information with second and mated；
The most then pass through authentication.
Optionally, to judge that whether described face characteristic information presets with first that characteristic information mates concrete for processor 501
Operation is:
Judge whether described face characteristic information and the first matching rate presetting between characteristic information preset threshold more than first
Value；
Described judge whether described iris feature information is preset characteristic information with second and mated, including:
Judge whether described iris feature information and the second matching rate presetting between characteristic information preset threshold more than second
Value.
Further, before processor 501 obtains local facial image, also perform:
Determine the safe class required by current pending task；
According to the safe class required by described current pending task, set described first predetermined threshold value and second and preset
Threshold value.
Further, processor 501, according to the safe class required by described current pending task, sets described
The concrete operations of one predetermined threshold value and the second predetermined threshold value are:
According to the safe class required by described current pending task, set described second predetermined threshold value, wherein, described
The size of the second predetermined threshold value and the height positive correlation of described safe class；
According to described second predetermined threshold value set, set described first predetermined threshold value, wherein, described first predetermined threshold value
The size negative correlation of size and described second predetermined threshold value.
Optional again, processor 501 obtains the concrete operations of local facial image and is:
When being detected that by photographic head the ratio of the outer image of eye and ophthalmic image is in preset ratio scope, shooting obtains
Face topography.
In the embodiment of the present invention, terminal first obtains and includes the outer image of eye and the local facial image of ophthalmic image, then root
According to the outer Image Acquisition face characteristic information of eye, and according to ophthalmic Image Acquisition iris feature information, the most first to face characteristic
Information is verified, verifies iris feature information again, thus realize authentication after being verified, owing to successively experiencing
Twice checking, therefore can improve the accuracy rate of authentication.
One of ordinary skill in the art will appreciate that all or part of flow process realizing in above-described embodiment method, be permissible
Instructing relevant hardware by computer program to complete, described program can be stored in a computer read/write memory medium
In, this program is upon execution, it may include such as the flow process of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic
Dish, CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random Access
Memory, RAM) etc..
Step in embodiment of the present invention method can carry out order according to actual needs and adjust, merges and delete.
Unit in embodiment of the present invention device, can merge according to actual needs, divides and delete.
Unit described in the embodiment of the present invention, can pass through universal integrated circuit, such as CPU (Central
Processing Unit, central processing unit), or by ASIC (Application Specific Integrated
Circuit, special IC) realize.
The above disclosed present pre-ferred embodiments that is only, can not limit the right model of the present invention with this certainly
Enclose, the equivalent variations therefore made according to the claims in the present invention, still belong to the scope that the present invention is contained.
Claims (10)
1. an auth method, it is characterised in that described method includes:
Obtaining local facial image, wherein, described local facial image includes the outer image of eye and ophthalmic image；
According to the outer Image Acquisition face characteristic information of described eye, and according to described ophthalmic Image Acquisition iris feature information；
Judge whether described face characteristic information is preset characteristic information with first and mated；
The most then judge whether described iris feature information is preset characteristic information with second and mated；
The most then pass through authentication.
2. the method for claim 1, it is characterised in that described judge that whether described face characteristic information is preset with first
Characteristic information mates, including:
Judge that whether described face characteristic information and the first matching rate presetting between characteristic information are more than the first predetermined threshold value；
Described judge whether described iris feature information is preset characteristic information with second and mated, including:
Judge that whether described iris feature information and the second matching rate presetting between characteristic information are more than the second predetermined threshold value.
3. method as claimed in claim 2, it is characterised in that before the image of described acquisition local facial, also include:
Determine the safe class required by current pending task；
According to the safe class required by described current pending task, set described first predetermined threshold value and second and preset threshold
Value.
4. method as claimed in claim 3, it is characterised in that described according to the safety required by described current pending task
Grade, sets described first predetermined threshold value and the second predetermined threshold value, including:
According to the safe class required by described current pending task, set described second predetermined threshold value, wherein, described second
The size of predetermined threshold value and the height positive correlation of described safe class；
According to described second predetermined threshold value set, set described first predetermined threshold value, wherein, described first predetermined threshold value big
The little size negative correlation with described second predetermined threshold value.
5. the method for claim 1, it is characterised in that described acquisition local facial image, including:
When being detected that by photographic head the ratio of the outer image of eye and ophthalmic image is in preset ratio scope, shooting obtains face
Topography.
6. a terminal, it is characterised in that described terminal includes:
Image acquisition unit, is used for obtaining local facial image, and wherein, described local facial image includes the outer image of eye and ophthalmic
Image；
Feature acquiring unit, is used for according to the outer Image Acquisition face characteristic information of described eye, and obtains according to described ophthalmic image
Take iris feature information；
First judging unit, is used for judging whether described face characteristic information is preset characteristic information with first and mated；
Second judging unit, for the most then judging whether described iris feature information is preset characteristic information with second and mated；
It is verified unit, for the most then passing through authentication.
7. terminal as claimed in claim 6, it is characterised in that described first judging unit, specifically for judging described face
Whether characteristic information and first presets the matching rate between characteristic information more than the first predetermined threshold value；
Described second judging unit, specifically for judging that described iris feature information presets mating between characteristic information with second
Whether rate is more than the second predetermined threshold value.
8. terminal as claimed in claim 7, it is characterised in that described terminal also includes:
Level de-termination unit, for determining the safe class required by current pending task；
Threshold setting unit, for according to the safe class required by described current pending task, sets described first and presets
Threshold value and the second predetermined threshold value.
9. terminal as claimed in claim 8, it is characterised in that described threshold setting unit, including:
First setup unit, for according to the safe class required by described current pending task, sets described second and presets
Threshold value, wherein, the size of described second predetermined threshold value and the height positive correlation of described safe class；
Second setup unit, for according to described second predetermined threshold value set, setting described first predetermined threshold value, wherein, institute
State the size of the first predetermined threshold value and the size negative correlation of described second predetermined threshold value.
10. terminal as claimed in claim 6, it is characterised in that described image acquisition unit, specifically for when passing through photographic head
Detect that, when the ratio of image and ophthalmic image is in preset ratio scope outside eye, shooting obtains face topography.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610493419.4A CN106096585A (en) | 2016-06-29 | 2016-06-29 | A kind of auth method and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610493419.4A CN106096585A (en) | 2016-06-29 | 2016-06-29 | A kind of auth method and terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106096585A true CN106096585A (en) | 2016-11-09 |
Family
ID=57213782
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610493419.4A Withdrawn CN106096585A (en) | 2016-06-29 | 2016-06-29 | A kind of auth method and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106096585A (en) |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106682612A (en) * | 2016-12-26 | 2017-05-17 | 宇龙计算机通信科技(深圳)有限公司 | Alarming method based on image recognition, terminal, server and system |
| CN107278308A (en) * | 2017-05-20 | 2017-10-20 | 深圳信炜科技有限公司 | Image-recognizing method, pattern recognition device, electronic installation and computer-readable storage medium |
| CN107451454A (en) * | 2017-07-29 | 2017-12-08 | 广东欧珀移动通信有限公司 | Solve lock control method and Related product |
| CN107704849A (en) * | 2017-10-28 | 2018-02-16 | 上海爱优威软件开发有限公司 | The face identification method and system of double verification function |
| CN107908347A (en) * | 2017-11-27 | 2018-04-13 | 上海爱优威软件开发有限公司 | A kind of message method and terminal device based on photo |
| WO2018133282A1 (en) * | 2017-01-19 | 2018-07-26 | 华为技术有限公司 | Dynamic recognition method and terminal device |
| WO2018213945A1 (en) * | 2017-05-20 | 2018-11-29 | 深圳信炜科技有限公司 | Image sensor and electronic device |
| CN109190509A (en) * | 2018-08-13 | 2019-01-11 | 阿里巴巴集团控股有限公司 | A kind of personal identification method, device and computer readable storage medium |
| CN109284725A (en) * | 2018-09-30 | 2019-01-29 | 武汉虹识技术有限公司 | The method and device of iris recognition, electronic equipment, readable storage medium storing program for executing |
| CN109344583A (en) * | 2018-08-22 | 2019-02-15 | 阿里巴巴集团控股有限公司 | Threshold value determination and core body method, apparatus, electronic equipment and storage medium |
| CN109598221A (en) * | 2018-11-26 | 2019-04-09 | 武汉虹识技术有限公司 | A kind of image-recognizing method and device |
| CN109840494A (en) * | 2019-01-28 | 2019-06-04 | 北京得意音通技术有限责任公司 | Identity identifying method, device, computer program, storage medium and electronic equipment |
| CN110647955A (en) * | 2018-06-26 | 2020-01-03 | 义隆电子股份有限公司 | Identity authentication method |
| CN113312950A (en) * | 2020-09-24 | 2021-08-27 | 一令通(上海)科技有限公司 | Identity authentication method based on face and iris characteristics |
| CN113963430A (en) * | 2021-12-22 | 2022-01-21 | 广州卓腾科技有限公司 | Pupil membrane collecting method and system for self-service certificate handling equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103617385A (en) * | 2013-11-27 | 2014-03-05 | 福州瑞芯微电子有限公司 | Terminal and method for unlocking screen |
| CN103995997A (en) * | 2014-05-15 | 2014-08-20 | 华为技术有限公司 | Method and equipment for distributing user rights |
| CN105279409A (en) * | 2014-05-30 | 2016-01-27 | 由田新技股份有限公司 | Handheld identity verification device, identity verification method and identity verification system |
| CN105574386A (en) * | 2015-06-16 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Terminal mode management method and apparatus |
| CN105608358A (en) * | 2015-07-30 | 2016-05-25 | 宇龙计算机通信科技(深圳)有限公司 | Password information verification method, password information verification system and terminal |
-
2016
- 2016-06-29 CN CN201610493419.4A patent/CN106096585A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103617385A (en) * | 2013-11-27 | 2014-03-05 | 福州瑞芯微电子有限公司 | Terminal and method for unlocking screen |
| CN103995997A (en) * | 2014-05-15 | 2014-08-20 | 华为技术有限公司 | Method and equipment for distributing user rights |
| CN105279409A (en) * | 2014-05-30 | 2016-01-27 | 由田新技股份有限公司 | Handheld identity verification device, identity verification method and identity verification system |
| CN105574386A (en) * | 2015-06-16 | 2016-05-11 | 宇龙计算机通信科技(深圳)有限公司 | Terminal mode management method and apparatus |
| CN105608358A (en) * | 2015-07-30 | 2016-05-25 | 宇龙计算机通信科技(深圳)有限公司 | Password information verification method, password information verification system and terminal |
Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106682612A (en) * | 2016-12-26 | 2017-05-17 | 宇龙计算机通信科技(深圳)有限公司 | Alarming method based on image recognition, terminal, server and system |
| US11328044B2 (en) | 2017-01-19 | 2022-05-10 | Huawei Technologies Co., Ltd. | Dynamic recognition method and terminal device |
| WO2018133282A1 (en) * | 2017-01-19 | 2018-07-26 | 华为技术有限公司 | Dynamic recognition method and terminal device |
| CN108496170B (en) * | 2017-01-19 | 2021-05-07 | 华为技术有限公司 | Dynamic identification method and terminal equipment |
| CN108496170A (en) * | 2017-01-19 | 2018-09-04 | 华为技术有限公司 | A kind of method and terminal device of Dynamic Recognition |
| CN107278308A (en) * | 2017-05-20 | 2017-10-20 | 深圳信炜科技有限公司 | Image-recognizing method, pattern recognition device, electronic installation and computer-readable storage medium |
| WO2018213945A1 (en) * | 2017-05-20 | 2018-11-29 | 深圳信炜科技有限公司 | Image sensor and electronic device |
| CN107451454A (en) * | 2017-07-29 | 2017-12-08 | 广东欧珀移动通信有限公司 | Solve lock control method and Related product |
| CN107451454B (en) * | 2017-07-29 | 2020-03-24 | Oppo广东移动通信有限公司 | Unlocking control method and related product |
| CN107704849A (en) * | 2017-10-28 | 2018-02-16 | 上海爱优威软件开发有限公司 | The face identification method and system of double verification function |
| CN107908347A (en) * | 2017-11-27 | 2018-04-13 | 上海爱优威软件开发有限公司 | A kind of message method and terminal device based on photo |
| CN110647955A (en) * | 2018-06-26 | 2020-01-03 | 义隆电子股份有限公司 | Identity authentication method |
| CN109190509A (en) * | 2018-08-13 | 2019-01-11 | 阿里巴巴集团控股有限公司 | A kind of personal identification method, device and computer readable storage medium |
| US10776646B2 (en) | 2018-08-13 | 2020-09-15 | Alibaba Group Holding Limited | Identification method and apparatus and computer-readable storage medium |
| US11126878B2 (en) | 2018-08-13 | 2021-09-21 | Advanced New Technologies Co., Ltd. | Identification method and apparatus and computer-readable storage medium |
| US11074336B2 (en) | 2018-08-22 | 2021-07-27 | Advanced New Technologies Co., Ltd. | Threshold determining and identity verification method, apparatus, electronic device, and storage medium |
| CN109344583B (en) * | 2018-08-22 | 2020-10-23 | 创新先进技术有限公司 | Threshold determination and body verification method and device, electronic equipment and storage medium |
| CN109344583A (en) * | 2018-08-22 | 2019-02-15 | 阿里巴巴集团控股有限公司 | Threshold value determination and core body method, apparatus, electronic equipment and storage medium |
| CN109284725A (en) * | 2018-09-30 | 2019-01-29 | 武汉虹识技术有限公司 | The method and device of iris recognition, electronic equipment, readable storage medium storing program for executing |
| CN109598221A (en) * | 2018-11-26 | 2019-04-09 | 武汉虹识技术有限公司 | A kind of image-recognizing method and device |
| CN109840494A (en) * | 2019-01-28 | 2019-06-04 | 北京得意音通技术有限责任公司 | Identity identifying method, device, computer program, storage medium and electronic equipment |
| CN113312950A (en) * | 2020-09-24 | 2021-08-27 | 一令通(上海)科技有限公司 | Identity authentication method based on face and iris characteristics |
| CN113963430A (en) * | 2021-12-22 | 2022-01-21 | 广州卓腾科技有限公司 | Pupil membrane collecting method and system for self-service certificate handling equipment and storage medium |
| CN113963430B (en) * | 2021-12-22 | 2022-03-29 | 广州卓腾科技有限公司 | Pupil membrane collecting method and system for self-service certificate handling equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106096585A (en) | A kind of auth method and terminal | |
| US10205883B2 (en) | Display control method, terminal device, and storage medium | |
| EP2866170B1 (en) | Image processing device and image processing method | |
| EP2793159B1 (en) | Authentication device, authentication method and non-transitory computer-readable recording medium | |
| US9262614B2 (en) | Image processing device, image processing method, and storage medium storing image processing program | |
| US11328044B2 (en) | Dynamic recognition method and terminal device | |
| CN104899490A (en) | Terminal positioning method and user terminal | |
| CN107944247B (en) | Unlocking control method and device and electronic equipment | |
| CN104123161A (en) | Screen unlocking and application starting method through human eye watching point | |
| US20190108409A1 (en) | Face recognition method and related product | |
| CN105320871A (en) | Screen unlocking method and screen unlocking apparatus | |
| US9292752B2 (en) | Image processing device and image processing method | |
| CN109034029A (en) | Detect face identification method, readable storage medium storing program for executing and the electronic equipment of living body | |
| JP6376246B2 (en) | Authentication device, authentication method, control program, and recording medium | |
| CN107294915A (en) | Image-pickup method, system and terminal | |
| JP2006319550A (en) | Imaging apparatus, portable terminal | |
| CN106022216A (en) | Identity automatic identification method | |
| CN106487516A (en) | A kind of method of the multi-user management of mobile terminal and its device | |
| CN111695509A (en) | Identity authentication method, identity authentication device, machine readable medium and equipment | |
| CN108733999A (en) | A kind of unlocking method and device, terminal device and readable storage medium storing program for executing | |
| TWI459309B (en) | System and method for identifying irises | |
| CN103853959B (en) | Authority control device and method | |
| CN107508965B (en) | Image acquisition method and related product | |
| CN114038026A (en) | Face recognition method and device | |
| CN107995213B (en) | Short message sending control method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20161109 |
|
| WW01 | Invention patent application withdrawn after publication |