CN108345824A - Fingerprint authentication method and electronic device - Google Patents
Fingerprint authentication method and electronic device Download PDFInfo
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- CN108345824A CN108345824A CN201710059681.2A CN201710059681A CN108345824A CN 108345824 A CN108345824 A CN 108345824A CN 201710059681 A CN201710059681 A CN 201710059681A CN 108345824 A CN108345824 A CN 108345824A
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- 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
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
- G06V40/1371—Matching features related to minutiae or pores
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- 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
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
- G06V40/1353—Extracting features related to minutiae or pores
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- 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
- G06V40/40—Spoof detection, e.g. liveness detection
- G06V40/45—Detection of the body part being alive
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Abstract
A kind of fingerprint authentication method of present invention offer and electronic device.Fingerprint authentication method includes：Fingerprint sensing operation is executed, to obtain fingerprint image；Fingerprint image is analyzed, to obtain fisrt feature information and second feature information, wherein fisrt feature information is multiple fingerprint characteristics of fingerprint image, and second feature information is multiple pore features of fingerprint image；In conjunction with fisrt feature information and second feature information, to obtain third feature information and fourth feature information；And verification fingerprint image third feature information and at least within one of fourth feature information whether matched with the fingerprint image registered, to identify whether fingerprint image is actual fingerprint image.The fingerprint authentication method of the present invention can provide the fingerprint authentication of high security with electronic device.
Description
Technical field
The present invention relates to a kind of verification method more particularly to a kind of fingerprint authentication methods and electronic device.
Background technology
The type of living things feature recognition includes face, sound, iris, retina, vein, fingerprint and personal recognition etc..By
It is unique in everyone fingerprint, and fingerprint is not easy to change with age or physical condition, therefore fingerprint
Identification equipment has become a kind of current most popular living things feature recognition equipment.However, in the technical field of fingerprint recognition, by
Be not easy to tell truth from falsehood the difference of finger in fingerprint recognition, if therefore pseudo- finger copy out the fingerprint of human finger, may lead to
The verification for crossing traditional fingerprint recognition, the problem of leading to that safety occurs.Accordingly, it is higher how to provide accurate and safety
Fingerprint authentication technology is current important project.
Invention content
The present invention be directed to a kind of verification method, especially a kind of fingerprint authentication method and the application fingerprint authentication side
The electronic device of method, to solve in the prior art, pseudo- finger copys out the fingerprint of human finger, it is possible to can pass through traditional finger
The verification of line identification, the problem of leading to that safety occurs.
According to an embodiment of the invention, fingerprint authentication method includes：Fingerprint sensing operation is executed, to obtain fingerprint image；
The fingerprint image is analyzed, to obtain fisrt feature information and second feature information, wherein the fisrt feature information is institute
Multiple fingerprint characteristics of fingerprint image are stated, the second feature information is multiple pore features of the fingerprint image；In conjunction with institute
Fisrt feature information and the second feature information are stated, to obtain third feature information and fourth feature information, wherein institute
State third feature information be the multiple fingerprint characteristic each respectively within a preset range with corresponding the multiple pore
Geometrical relationship between feature, the fourth feature information are distinguished within a preset range for each of the multiple fingerprint characteristic
At least within one of corresponding the multiple pore feature with corresponding the multiple pore feature at least within
Geometrical relationship between another；Verify the third feature information of the fingerprint image and the fourth feature information
Whether one at least within matches with the fingerprint image of registration, to identify the fingerprint image as actual fingerprint image.
In fingerprint authentication method according to an embodiment of the invention, the multiple fingerprint for obtaining the fingerprint image is special
Whether the step of sign includes verifying the fisrt feature information of the fingerprint image to match with the fingerprint image of the registration, with
Decision re-executes the fingerprint sensing operation.
In fingerprint authentication method according to an embodiment of the invention, the third feature information and the described 4th are obtained
The step of characteristic information includes：The characteristic point of each for recording the multiple fingerprint characteristic is corresponding in the preset range
The quantity of the multiple pore feature, using as the third feature information.
In fingerprint authentication method according to an embodiment of the invention, the third feature information and the described 4th are obtained
The step of characteristic information includes：Record the characteristic point of each of the multiple fingerprint characteristic in the preset range with
The distance of each of the multiple pore feature, using as the third feature information.
In fingerprint authentication method according to an embodiment of the invention, the third feature information and the described 4th are obtained
The step of characteristic information includes：Record the characteristic point of each of the multiple fingerprint characteristic in the preset range with
The line direction of each of the multiple pore feature, using as the third feature information.
In fingerprint authentication method according to an embodiment of the invention, the third feature information and the described 4th are obtained
The step of characteristic information includes：The characteristic point for recording each of the multiple fingerprint characteristic is right in the preset range
At least within another of at least within one of the multiple pore feature answered and corresponding the multiple pore feature
It is the distance between a, using as the fourth feature information.
In fingerprint authentication method according to an embodiment of the invention, each of the multiple fingerprint characteristic is described pre-
If having at least two pore features in range.
In fingerprint authentication method according to an embodiment of the invention, further include：When the identification fingerprint image is described
After actual fingerprint image, verify again the fourth feature information of the fingerprint image and the registration fingerprint image whether
Matching, to determine that can the fingerprint image pass through verification.
According to an embodiment of the invention, electronic device includes：Image analysis module, for analyzing fingerprint image, to obtain
Fisrt feature information and second feature information, wherein the fisrt feature information is multiple fingerprints spy of the fingerprint image
Sign, the second feature information is multiple pore features of the fingerprint image, and described image analysis module is additionally operable to tie
The fisrt feature information and the second feature information are closed, to obtain third feature information and fourth feature information,
Described in third feature information be the multiple fingerprint characteristic each respectively within a preset range with it is corresponding the multiple
Geometrical relationship between pore feature, the fourth feature information be the multiple fingerprint characteristic each respectively in default model
At least within one of corresponding the multiple pore feature in enclosing and corresponding the multiple pore feature at least its
In another between geometrical relationship；And fingerprint authentication module, the fingerprint image for verifying registration and the fingerprint image
Whether the third feature information of picture and at least within one of the fourth feature information match, to identify the finger
Print image is actual fingerprint image.
In electronic device according to an embodiment of the invention, when the fingerprint authentication module identifies that the fingerprint image is
After the actual fingerprint image, the fingerprint authentication module verifies the fingerprint image again by the fingerprint image of the registration
The fourth feature information whether matched with the fingerprint image of the registration, to determine that can the fingerprint image by testing
Card.
It can be special by analyzing fingerprint characteristic and pore based on above-mentioned, of the invention fingerprint authentication method and electronic device
Geometrical relationship between sign, to provide the fingerprint authentication function of accurate and high security.
To make the foregoing features and advantages of the present invention clearer and more comprehensible, special embodiment below, and it is detailed to coordinate attached drawing to make
Carefully it is described as follows.
Description of the drawings
Fig. 1 is the block diagram of the electronic device shown by one embodiment of the invention；
Fig. 2 is the flow chart of the fingerprint authentication method shown by one embodiment of the invention；
Fig. 3 is the schematic diagram of the fingerprint image shown by one embodiment of the invention；
Fig. 4 A are the schematic diagram of the fisrt feature information shown by one embodiment of the invention；
Fig. 4 B are the schematic diagram of the second feature information shown by one embodiment of the invention；
Fig. 5 A are the schematic diagram of the third feature information shown by one embodiment of the invention；
Fig. 5 B are the schematic diagram of the fourth feature information shown by one embodiment of the invention；
Fig. 6 is the flow chart of the fingerprint register method shown by one embodiment of the invention；
Fig. 7 is the flow chart of the fingerprint authentication method shown by another embodiment of the present invention.
Reference sign：
100：Electronic device；
110：Fingerprint sensor；
120：Processor；
130：Storage device；
131：Image analysis module；
132：Fingerprint authentication module；
S210、S220、S230、S240、S1010、S1020、S1030、S1040、S1050、S1060、S1070、S1110、
S1120、S1130、S1140、S1150、S1160、S1170、S1180：Step；
FI_1、FI_2、FI_3、FI_4、FI_5：Fingerprint image；
401、402、403、404、405、406、601、801：Fingerprint characteristic；
500、701、702、703、704、705、706、707、708、709、710、711、712、713、714、901、902：
Pore feature；
601S、801S：Preset range；
R：Radius；
a1、b1：Distance；
d1：Direction.
Specific implementation mode
With detailed reference to the exemplary embodiment of the present invention, the example explanation of exemplary embodiment is in the accompanying drawings.Only
It is possible that similar elements symbol is used for indicating same or similar part in the accompanying drawings and the description.
Fig. 1 is the block diagram of the electronic device shown by one embodiment of the invention.Fig. 1 is please referred to, in this implementation
Example in, electronic device 100 be, for example, smart mobile phone, tablet, desktop computer or laptop or other with fingerprint sensor
Similar electronic equipment.Electronic device 100 includes fingerprint sensor 110, processor 120 and storage device 130.
In the present embodiment, fingerprint sensor 110 can be optical profile type, resistance-type, condenser type or other kinds of sensing
Part, for sensing the operation (such as touch or approach) of user to obtain fingerprint image.However, the present invention not as
Limit.Those skilled in the art are visually actually needed selection and obtain the fingerprint sensor 110 of fingerprint image in different ways.
In the present embodiment, processor 120 is, for example, central processing unit (Central Processing Unit, CPU)
Or the microprocessor (Microprocessor), digital signal processor of other programmable general services or specific use
(Digital Signal Processor, DSP), programmable controller, special application integrated circuit (Application
Specific Integrated Circuits, ASIC), programmable logic device (Programmable Logic Device,
) or the combination of other similar devices or these devices PLD.Processor 120 couples fingerprint sensor 110 and storage device 130,
Middle processor 120 can be loaded into the program of image analysis module 131 and fingerprint authentication module 132 from storage device 130, accordingly
Execute the fingerprint authentication method of various embodiments of the present invention.That is, the image analysis module 131 and fingerprint inspection of the present embodiment
Card module 132 is to be realized by the form of software, and image analysis module 131 and fingerprint authentication module 132 can also be into
One step includes multiple subgraph processing modules, to realize the fingerprint authentication method of various embodiments of the present invention.
In the present embodiment, storage device 130 can be any kind of fixed or packaged type random access memory
(Random Access Memory, RAM), read-only memory (Read-Only Memory, ROM), flash memory (flash
) or the combination of similar component or said elements memory.In the present embodiment, storage device 130 is for recording image analysis mould
Block 131 and fingerprint authentication module 132, these modules are for example stored in the program in storage device 130.Also, it is real one
It applies in example, storage device 130 can be additionally used in storage and pass through the fingerprint image acquired in fingerprint sensor 110.
Fig. 2 is the flow chart of the fingerprint authentication method shown by one embodiment of the invention.Please refer to Fig. 1 and figure
2, the fingerprint authentication method of the present embodiment is suitable for the electronic device 100 of Fig. 1, below the items i.e. in collocation electronic device 100
Element illustrates the detailed step of the fingerprint authentication method of the present invention.
First, in step S210, electronic device 100 can execute fingerprint sensing operation by fingerprint sensor 110, to obtain
Fetching print image.Fingerprint sensing operation refers to working as the finger pressing of user on fingerprint sensor 110, fingerprint sensor 110
The finger-image of user can be obtained, and further obtains the fingerprint of user by image analysis.Then, in step S220
In, processor 120 can analyze the fingerprint image by executing image analysis module 131, with obtain fisrt feature information with
And second feature information.Wherein, fisrt feature information is multiple fingerprint characteristics in fingerprint image, and second feature information is to refer to
Multiple pore features in print image.Followed by, processor 120 the can be combined by executing image analysis module 131 again
One characteristic information and second feature information further obtain third feature information and fourth feature information.For example, by multiple
The position of fingerprint characteristic and multiple pore features, coordinate or image overlapping, it is special with multiple pores to obtain multiple fingerprint characteristics
Relative geometrical relation between sign.Therefore, in the present embodiment, third feature information is each difference of multiple fingerprint characteristics
Geometrical relationship between corresponding multiple pore features within a preset range.Fourth feature information is the every of multiple fingerprint characteristics
At least within one of the corresponding multiple pore features of one difference within a preset range and corresponding multiple pore features
At least within another between geometrical relationship.Finally, processor 120 can be tested by executing fingerprint authentication module 132
Demonstrate,prove fingerprint image third feature information and at least within one of fourth feature information with the fingerprint image registered whether
Matching, to identify fingerprint image as actual fingerprint image.
Even if that is, pseudo- finger is modeled with fingerprint lines and fingerprint characteristic, or even being modeled with the pore spy of part
Sign.But pseudo- finger can not copy whole pore features such as live body, and the relative position of each pore feature
It can not be identical as the real finger of live body.Therefore, the electronic device 100 of the present embodiment can be further by analyzing fingerprint image
Geometrical relationship between multiple fingerprint characteristics and multiple pore features further verifies the fingerprint that fingerprint sensor 110 obtains
Whether image is ex vivo real finger, can thereby exclude pseudo- finger and pass through verification.
Fig. 3 is the schematic diagram of the fingerprint image shown by one embodiment of the invention, please refers to Fig. 1 and Fig. 3, this
It invents the fingerprint image acquired in the fingerprint sensor 110 of each embodiment and can be for example fingerprint image FI_1 shown in Fig. 3.At this
In embodiment, fingerprint image FI_1 can be the image of all or part of finger, and the present invention is not limited thereto.Also, in this reality
It applies in example, fingerprint image FI_1 has the feature of fingerprint lines and pore.
Fig. 4 A are the schematic diagram of the fisrt feature information shown by one embodiment of the invention.Fig. 4 B are according to this hair
The schematic diagram of second feature information shown by a bright embodiment.Please also refer to Fig. 1 and Fig. 4 A, various embodiments of the present invention institute
The fisrt feature information stated can fingerprint image FI_2 shown in such as Fig. 4 A.In the present embodiment, processor 120 can pass through execution
Image analysis module 131 further obtains the position of multiple fingerprint characteristics 401~406 to analyze fingerprint image FI_2, wherein
Fingerprint characteristic can be for example endpoint, bifurcation or short grain of the fingerprint ridge of finger etc., and the present invention is not with limitation.Referring again to
Fig. 1 and Fig. 4 B, the fingerprint image FI_3 that the second feature information described in various embodiments of the present invention can be as shown in Figure 4 B.In this reality
It applies in example, processor 120 can further obtain multiple hairs by executing image analysis module 131 to analyze fingerprint image FI_3
The position of hole characteristic 500.
Specifically, in the present embodiment, processor 120 can be directed to fingerprint sensor 110 acquired in fingerprint image into
Grayscale degree or the variation of fingerprint image are e.g. analyzed in row image analysis and processing.For example, processor 120 can define ash
Rank value is fingerprint higher than the lines of preset critical, and judges the position of the endpoint of fingerprint lines, bifurcation or short grain, to make
For fingerprint characteristic.For another example processor 120 can define gray scale variation it is larger it is each individually the position of a bit, using as pore spy
Sign.However, in one embodiment, fingerprint image can be determined according to different types of fingerprint sensor 110, and fingerprint image
Analysis for example can also carry out color change analysis using colored fingerprint image, the present invention is not limited thereto.
Fig. 5 A are the schematic diagram of the third feature information shown by one embodiment of the invention.Fig. 5 B are according to this hair
The schematic diagram of fourth feature information shown by a bright embodiment.Fig. 1 and Fig. 5 A are please referred to, described in various embodiments of the present invention
Third feature information can be for example fingerprint image FI_4 shown in Fig. 5 A.In the present embodiment, processor 120 can pass through execution
Image analysis module 131, to combine the fisrt feature information and second feature information of above-mentioned fingerprint image, further to obtain
Third feature information.
Specifically, in the present embodiment, image analysis module 131 in combination with fingerprint characteristic location information and pore
The location information of feature especially judges pore feature corresponding in the preset range of each fingerprint characteristic.Such as Fig. 5 A
Shown, fingerprint characteristic 601 can have 14 pore features 701~714 in the preset range 601S of radius R.Image analysis mould
Block 131 can record the geometrical relationship between fingerprint characteristic 601 and pore feature 701~714, be used as third feature information.
In the present embodiment, radius R can be preset, so that each of fingerprint characteristic has at least two in preset range 601S
Pore feature.In one embodiment, the size of radius R can be set according to different judgement demands, and the present invention is not limited
System.
In the present embodiment, the geometry that third feature information can be between fingerprint characteristic 601 and pore feature 701~714
Relationship.In one embodiment, image analysis module 131 can be for example the characteristic point of record fingerprint characteristic 601 in preset range
The quantity of corresponding pore feature 701~714 in 601S, using as third feature information.Alternatively, in another embodiment, figure
As analysis module 131 can be for example record fingerprint characteristic 601 characteristic point in preset range 610S with pore feature 701~
The distance between each of 714, using as the third feature information.For example, fingerprint characteristic 601 and pore feature 701
Distance a1.Or in another embodiment, image analysis module 131 can be for example record fingerprint characteristic 601 characteristic point exist
In preset range 601S with the line direction of each of pore feature 701~714 or vector, using as third feature information.
For example, the line direction d1 of fingerprint characteristic 601 and pore feature 701.It is worth noting that, the third of various embodiments of the present invention is special
Reference breath can include at least the distance between pore feature quantity, fingerprint characteristic and pore feature described in the various embodiments described above with
And at least within one of the line direction between fingerprint characteristic and pore feature.
Fig. 1 and Fig. 5 B are referred again to, the fourth feature information described in various embodiments of the present invention can be for example shown in Fig. 5 B
Fingerprint image FI_5.In the present embodiment, processor 120 can be by executing image analysis module 131, to combine above-mentioned fingerprint image
The fisrt feature information and second feature information of picture, further to obtain fourth feature information.
Specifically, in the present embodiment, image analysis module 131 in combination with fingerprint characteristic location information and pore
The location information of feature especially judges pore feature corresponding in the preset range of each fingerprint characteristic.Such as Fig. 5 B
Shown, fingerprint characteristic 801 can have 14 pore features in the preset range 801S of radius R.Image analysis module 131 can be remembered
The geometrical relationship between each pore feature in the preset range 801S of fingerprint characteristic 801 is recorded, fourth feature information is used as.
In the present embodiment, image analysis module 131 can be for example the characteristic point of record fingerprint characteristic 801 in preset range
In 801S at least within one of corresponding each pore feature and corresponding each pore feature at least within another it
Between distance, using as the fourth feature information.For example, the distance between pore feature 901 and pore feature 902 b1.
In the present embodiment, image analysis module 131 can record the distance between all or part of each pore feature.That is, this
The radius R of embodiment is predeterminable for that can include at least two pore features, so that image analysis module 131 can obtain two pores
Geometrical relationship between feature, but the present invention is not limited thereto.
Fig. 6 is the flow chart of the fingerprint register method shown by one embodiment of the invention, please refers to Fig. 1 and figure
6.In the present embodiment, electronic device 100 can be previously stored with the fingerprint image of registration, for verification.Also, the present embodiment
Fingerprint register method is suitable for the electronic device 100 of Fig. 1, and each item i.e. in collocation electronic device 100 illustrates this hair below
The detailed step of bright fingerprint register method.
First, in step S1010, electronic device 100 can execute fingerprint sensing operation by fingerprint sensor 110, with
Obtain fingerprint image.Then, in step S1020 and step S1040, image analysis module 131 can analyze fingerprint image with
It obtains multiple fingerprint characteristics and obtains multiple pore features.Followed by, in step S1030 and step S1050, image point
Analysis module 131 can distinguish the position of multiple fingerprint characteristics and multiple pore features in location fingerprint image (such as first
Characteristic information and second feature information).Also, in step S1060, image analysis module 131 can also be used to calculate multiple
Each of fingerprint characteristic distinguishes the geometrical relationship between corresponding multiple pore features within a preset range, and calculates and exist
Geometrical relationship in the preset range of each of multiple fingerprint characteristics between corresponding multiple pore features is (such as third spy
Reference ceases and fourth feature information).Finally, in step S1070, image analysis module 131 can by fingerprint image and on
The analysis result stated all records in the storage device, using the fingerprint image as registration.
Fig. 7 is the flow chart of the fingerprint authentication method shown by another embodiment of the present invention.Referring to Fig.1 and scheme
7.The fingerprint register method of the present embodiment is suitable for the electronic device 100 of Fig. 1, below the items i.e. in collocation electronic device 100
Element illustrates the detailed step of the fingerprint authentication method of the present invention.
First, in step S1110, electronic device 100 can execute fingerprint sensing operation by fingerprint sensor 110, with
Obtain fingerprint image.Then, in step S1120 and step S1040, image analysis module 131 can analyze fingerprint image with
It obtains multiple fingerprint characteristics and obtains multiple pore features.Followed by, in step S1130 and step S1150, image point
Analysis module 131 can distinguish the position of multiple fingerprint characteristics and multiple pore features in location fingerprint image, respectively as
Fisrt feature information and second feature information.Followed by step S1160, image analysis module 131 can first verify first
Whether characteristic information matches with the fingerprint image of registration, to decide whether to re-fetch fingerprint image.That is, the present embodiment
Fingerprint register method can first judge whether fingerprint characteristic in fingerprint image is identical to the fingerprint image of user's registration
Fingerprint characteristic, to decide whether to continue to execute.In this regard, can avoid for the not matched finger of the fingerprint image of fingerprint characteristic and registration
Print image executes unnecessary analysis and verification.
Followed by step S1170, when image analysis module 131 judges fingerprint characteristic and the registration of fingerprint image
When fingerprint image matches, image analysis module 131 can be further combined with fisrt feature information and second feature information, to obtain
Third feature information and fourth feature information.Finally, in step S1180, processor 120 can perform fingerprint authentication module
132 come verify fingerprint image third feature information and at least within one of fourth feature information whether the finger with registration
Print image matches.If that is, fingerprint image and the fingerprint image of registration third feature information having the same and the 4th
At least within one of characteristic information, then fingerprint authentication module 132 be judged as by verification so that electronic device 100 can example
Such as enter the working stage or executing application of next step, the present invention is not limited thereto.If conversely, fingerprint image and registration
Fingerprint image do not have identical third feature information and fourth feature information, then processor 120 will judge this fingerprint
Image is non-genuine fingerprint image, and re-executes fingerprint sensing operation, to re-fetch fingerprint image.Subsidiary one carries
It is that in step S1180, processor 120 can determine special using only the third of fingerprint image according to different verification demands
Reference cease or fourth feature information, or simultaneously using the third feature information of fingerprint image and fourth feature information come into
Row verification, the present invention is not limited thereto.
In conclusion the fingerprint authentication method and electronic device of the present invention can be obtained by executing image analysis module
Both multiple fingerprint characteristics and multiple pore features, and combine, further to record multiple fingerprint characteristics and multiple hairs
Relativeness between hole characteristic.That is, the fingerprint authentication method and electronic device of the present invention can be obtained by verification
The geometrical relationship between these fingerprint characteristics and these pore features between the fingerprint image of the fingerprint image and registration that take,
Accurately to carry out fingerprint authentication, and the fingerprint that can effectively avoid the pseudo- finger of non-living body passes through verification, it is further provided high
The fingerprint identification function of safety.
Finally it should be noted that：The above various embodiments is only used to illustrate the technical scheme of the present invention, rather than its limitations；To the greatest extent
Present invention has been described in detail with reference to the aforementioned embodiments for pipe, it will be understood by those of ordinary skill in the art that：Its according to
So can with technical scheme described in the above embodiments is modified, either to which part or all technical features into
Row equivalent replacement；And these modifications or replacements, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (10)
1. a kind of fingerprint authentication method, which is characterized in that including：
Fingerprint sensing operation is executed, to obtain fingerprint image；
The fingerprint image is analyzed, to obtain fisrt feature information and second feature information, wherein the fisrt feature information
For multiple fingerprint characteristics of the fingerprint image, the second feature information is multiple pore features of the fingerprint image；
In conjunction with the fisrt feature information and the second feature information, believed with obtaining third feature information and fourth feature
Breath, wherein the third feature information be the multiple fingerprint characteristic each respectively within a preset range with it is corresponding described
Geometrical relationship between multiple pore features, the fourth feature information for the multiple fingerprint characteristic each respectively in institute
State at least within one of the corresponding the multiple pore feature in preset range and corresponding the multiple pore feature
At least within another between geometrical relationship；And
Verify the fingerprint image the third feature information and at least within one of the fourth feature information with
Whether the fingerprint image of registration matches, to identify the fingerprint image as actual fingerprint image.
2. fingerprint authentication method according to claim 1, which is characterized in that obtain the multiple finger of the fingerprint image
The step of line feature includes：
Whether the fisrt feature information for verifying the fingerprint image matches with the fingerprint image of the registration, to determine again
Execute the fingerprint sensing operation.
3. fingerprint authentication method according to claim 1, which is characterized in that obtain the third feature information and described
The step of fourth feature information includes：
It is special to record the characteristic point of each of the multiple fingerprint characteristic corresponding the multiple pore in the preset range
The quantity of sign, using as the third feature information.
4. fingerprint authentication method according to claim 1, which is characterized in that obtain the third feature information and described
The step of fourth feature information includes：
The characteristic point for recording each of the multiple fingerprint characteristic is special with the multiple pore in the preset range
The distance of each of sign, using as the third feature information.
5. fingerprint authentication method according to claim 1, which is characterized in that obtain the third feature information and described
The step of fourth feature information includes：
The characteristic point for recording each of the multiple fingerprint characteristic is special with the multiple pore in the preset range
The line direction of each of sign, using as the third feature information.
6. fingerprint authentication method according to claim 1, which is characterized in that obtain the third feature information and described
The step of fourth feature information includes：
Record the characteristic point of each of the multiple fingerprint characteristic corresponding the multiple hair in the preset range
At least within one of hole characteristic and corresponding the multiple pore feature at least within another the distance between, with
As the fourth feature information.
7. fingerprint authentication method according to claim 1, which is characterized in that each of the multiple fingerprint characteristic is in institute
Stating has at least two pore features in preset range.
8. fingerprint authentication method according to claim 1, which is characterized in that further include：
After it is the actual fingerprint image to identify the fingerprint image, the fourth feature of the fingerprint image is verified again
Whether information matches with the fingerprint image of the registration, to determine that can the fingerprint image pass through verification.
9. a kind of electronic device, which is characterized in that including：
Image analysis module, for analyzing fingerprint image, to obtain fisrt feature information and second feature information, wherein described
Fisrt feature information is multiple fingerprint characteristics of the fingerprint image, and the second feature information is the multiple of the fingerprint image
Pore feature, and described image analysis module is additionally operable in conjunction with the fisrt feature information and the second feature information,
To obtain third feature information and fourth feature information, wherein the third feature information is the every of the multiple fingerprint characteristic
The geometrical relationship between corresponding the multiple pore feature, the fourth feature information are one difference within a preset range
Each of the multiple fingerprint characteristic respectively corresponding the multiple pore feature within a preset range at least within
Geometrical relationship between one and at least within another of corresponding the multiple pore feature；And
Fingerprint authentication module, for verifying the fingerprint image of registration and the third feature information of the fingerprint image and institute
Whether state fourth feature information at least within one matches, to identify the fingerprint image as actual fingerprint image.
10. electronic device according to claim 9, which is characterized in that when the fingerprint authentication module identifies the fingerprint
Image is after the actual fingerprint image, the fingerprint authentication module verifies the finger again by the fingerprint image of the registration
Whether the fourth feature information of print image matches with the fingerprint image of the registration, to determine that can the fingerprint image lead to
Cross verification.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710059681.2A CN108345824A (en) | 2017-01-24 | 2017-01-24 | Fingerprint authentication method and electronic device |
| PCT/CN2017/078384 WO2018137285A1 (en) | 2017-01-24 | 2017-03-28 | Fingerprint verification method and electronic device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710059681.2A CN108345824A (en) | 2017-01-24 | 2017-01-24 | Fingerprint authentication method and electronic device |
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| Publication Number | Publication Date |
|---|---|
| CN108345824A true CN108345824A (en) | 2018-07-31 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201710059681.2A Pending CN108345824A (en) | 2017-01-24 | 2017-01-24 | Fingerprint authentication method and electronic device |
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| CN (1) | CN108345824A (en) |
| WO (1) | WO2018137285A1 (en) |
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| CN105573614A (en) * | 2015-07-28 | 2016-05-11 | 东莞酷派软件技术有限公司 | Screen unlocking method and user terminal |
| CN105740750A (en) * | 2014-12-11 | 2016-07-06 | 深圳印象认知技术有限公司 | Fingerprint in-vivo detection and identification method and apparatus |
| CN105912916A (en) * | 2016-05-27 | 2016-08-31 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and terminal |
| CN106096354A (en) * | 2016-05-27 | 2016-11-09 | 广东欧珀移动通信有限公司 | A kind of unlocked by fingerprint method and terminal |
| CN106295559A (en) * | 2016-08-08 | 2017-01-04 | 京东方科技集团股份有限公司 | Method, fingerprint identification device and the display device that a kind of data process |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102368291B (en) * | 2011-09-07 | 2013-02-13 | 常州蓝城信息科技有限公司 | Personal authentication system based on invisible consciousness of fingerprint image |
| CN103514433A (en) * | 2012-06-29 | 2014-01-15 | 新昌县冠阳技术开发有限公司 | Intelligent fingerprint authentication device with pore characteristics involved |
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- 2017-01-24 CN CN201710059681.2A patent/CN108345824A/en active Pending
- 2017-03-28 WO PCT/CN2017/078384 patent/WO2018137285A1/en active Application Filing
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1842805A (en) * | 2003-08-29 | 2006-10-04 | 皇家飞利浦电子股份有限公司 | Biometrical identification device |
| CN105740750A (en) * | 2014-12-11 | 2016-07-06 | 深圳印象认知技术有限公司 | Fingerprint in-vivo detection and identification method and apparatus |
| CN105573614A (en) * | 2015-07-28 | 2016-05-11 | 东莞酷派软件技术有限公司 | Screen unlocking method and user terminal |
| CN105912916A (en) * | 2016-05-27 | 2016-08-31 | 广东欧珀移动通信有限公司 | Fingerprint unlocking method and terminal |
| CN106096354A (en) * | 2016-05-27 | 2016-11-09 | 广东欧珀移动通信有限公司 | A kind of unlocked by fingerprint method and terminal |
| CN106295559A (en) * | 2016-08-08 | 2017-01-04 | 京东方科技集团股份有限公司 | Method, fingerprint identification device and the display device that a kind of data process |
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| WO2018137285A1 (en) | 2018-08-02 |
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