CN105608409B - The method and device of fingerprint recognition - Google Patents
The method and device of fingerprint recognition Download PDFInfo
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- CN105608409B CN105608409B CN201510420617.3A CN201510420617A CN105608409B CN 105608409 B CN105608409 B CN 105608409B CN 201510420617 A CN201510420617 A CN 201510420617A CN 105608409 B CN105608409 B CN 105608409B
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- 239000000284 extract Substances 0.000 claims description 6
- 230000008569 process Effects 0.000 abstract description 23
- 238000010586 diagram Methods 0.000 description 8
- 238000000605 extraction Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
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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
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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
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Abstract
The present invention provides a kind of method and devices of fingerprint recognition, wherein the method for the fingerprint recognition, comprising: acquires fingerprint image to be identified;The fingerprint image is divided into multiple regions, and is matched the fingerprint characteristic in any region with the feature in the corresponding region of reference finger image according to fingerprint matching algorithm corresponding with any region in the multiple region;According to the matching rate of the fingerprint characteristic in any region determine the fingerprint image to be identified and the reference finger image whether successful match.Technical solution of the present invention is by carrying out different zones division for collected fingerprint image, and different zones are handled using different algorithms, fingerprint recognition can not only rapidly be carried out, and it can be improved the utilization rate of finger print information in fingerprint identification process, and then improve the success rate and accuracy of fingerprint recognition.
Description
Technical field
The present invention relates to fingerprint identification technology fields, method and a kind of fingerprint in particular to a kind of fingerprint recognition
The device of identification.
Background technique
Currently, fingerprint identification technology has been widely used in multiple as a kind of more mature biometrics identification technology
In field.And fingerprint recognition usually first has to acquisition fingerprint image, in the collection process of fingerprint image, due to each stamp
Not exclusively, impetus difference can bring different degrees of deformation, therefore how carry out to collected fingerprint image in orientation
Processing influences whether the accuracy of entire fingerprint recognition.
In the related technology, for the processing method of fingerprint image, usually according to the collected former corresponding life of fingerprint image
At an image (as shown in Figure 1 image 102) smaller than original image, to reduce post-processing finger print information related to storage
Amount.This method haves the defects that certain: although original image becomes smaller in the case where not damaging useful information, theoretically still
A part of image information has been abandoned, the information content in fingerprint identification process is reduced, to influence the success rate of fingerprint recognition
And accuracy.
Therefore, how to improve the utilization rate of finger print information in fingerprint identification process, thus improve fingerprint recognition at
Power and accuracy become technical problem urgently to be resolved.
Summary of the invention
The present invention is based at least one above-mentioned technical problem, proposes a kind of scheme of fingerprint recognition, can not only
Fingerprint recognition is rapidly carried out, and can be improved the utilization rate of finger print information in fingerprint identification process, and then improve fingerprint
The success rate and accuracy of identification.
In view of this, the invention proposes a kind of methods of fingerprint recognition, comprising: acquire fingerprint image to be identified;It will
The fingerprint image is divided into multiple regions, and is calculated according to fingerprint matching corresponding with any region in the multiple region
Method matches the fingerprint characteristic in any region with the feature in the corresponding region of reference finger image;According to described
The matching rate of fingerprint characteristic in any region determine the fingerprint image to be identified and the reference finger image whether
With success.
In the technical scheme, the finger print information amount for including due to the different location of fingerprint image is different, pass through by
It collects fingerprint image and is divided into multiple regions, according to fingerprint matching algorithm corresponding with any region in multiple regions
Fingerprint characteristic in any region is matched with the feature in the corresponding region of reference finger image, and according to any region
The matching rate of interior fingerprint characteristic determine fingerprint image to be identified and reference finger image whether successful match, make it possible to needle
Corresponding matching algorithm is taken to match the number for the information content for including in any region, and can be in different zones
Finger print information all effectively extracted, to improve the utilization rate of finger print information in fingerprint identification process, be conducive to improve
The success rate and accuracy of fingerprint recognition.
In addition, the scheme handled in compared with the prior art entire fingerprint image, technical solution of the present invention by
In only carrying out relevant treatment to the multiple regions of division, therefore the storage of finger print information in fingerprint identification process can be effectively reduced
Space, while the time spent by entire fingerprint identification process is shortened, realize the quick identification to fingerprint image.
In the above-mentioned technical solutions, it is preferable that according to the determination of the matching rate of the fingerprint characteristic in any region
Fingerprint image to be identified and the reference finger image whether successful match the step of specifically include: if in the multiple region
Any region in fingerprint characteristic matching rate be all larger than or be equal to predetermined threshold, it is determined that the fingerprint image to be identified
Succeed with the reference finger images match, if the matching rate of the fingerprint characteristic in any region in the multiple region is small
In the predetermined threshold, it is determined that the fingerprint image to be identified and the reference finger images match fail.
In the technical scheme, be all larger than by the matching rate of the fingerprint characteristic in any region in multiple regions or
When equal to predetermined threshold, fingerprint image to be identified and the success of reference finger images match are determined, otherwise, it determines finger to be identified
Print image and reference finger images match fail, and make it possible to improve the accuracy of fingerprint matching.
In the above-mentioned technical solutions, it is preferable that the step of fingerprint image is divided into multiple regions specifically includes: will
The fingerprint image is divided into positioned at the first area of the fingerprint image center and on the outside of the first area
Second area.
In the technical scheme, fingerprint image is divided into first area and second area, and wherein first area, which is located at, refers to
Print image center, it includes finger print information amount it is relatively more;Second area is located on the outside of first area, it includes fingerprint
Information content is less than first area.In addition, the application to the division region of fingerprint image number and division mode do not limit, this
The technical staff in field can divide according to actual needs.
In the above-mentioned technical solutions, it is preferable that according to fingerprint corresponding with any region in the multiple region
The feature in the corresponding region of fingerprint characteristic and reference finger image in any region is subjected to matched step with algorithm
Suddenly it specifically includes: the first area being matched using full matching algorithm, multiple characteristic points are used to the second area
Matching algorithm matched.
In the technical scheme, the finger print information for including due to first area is most, so by using to first area
Full matching algorithm is matched, and the utilization rate of finger print information is effectively improved, and is conducive to the accuracy for improving fingerprint recognition;By
It is relatively fewer in the finger print information amount that second area includes, so matched by using the matching algorithm of multiple characteristic points,
Rather than matched using full matching algorithm, make it possible to greatly shorten the time spent by entire fingerprint identification process.
In the above-mentioned technical solutions, it is preferable that the step of first area is matched using full matching algorithm tool
Body includes: to carry out image enhancement processing to the first area, the image that obtains that treated;It extracts in treated the image
Characteristic information, to be matched with the feature in the corresponding region of the reference finger image.
According to the second aspect of the invention, it is also proposed that a kind of device of fingerprint recognition, comprising: acquisition unit, for adopting
Collect fingerprint image to be identified;Division unit, for the fingerprint image to be divided into multiple regions;Matching treatment unit is used
According to fingerprint matching algorithm corresponding with any region in the multiple region that the fingerprint in any region is special
Sign is matched with the feature in the corresponding region of reference finger image;Determination unit, for according in any region
The matching rate of fingerprint characteristic determine the fingerprint image to be identified and the reference finger image whether successful match.
In the technical scheme, the finger print information amount for including due to the different location of fingerprint image is different, pass through by
It collects fingerprint image and is divided into multiple regions, according to fingerprint matching algorithm corresponding with any region in multiple regions
Fingerprint characteristic in any region is matched with the feature in the corresponding region of reference finger image, and according to any region
The matching rate of interior fingerprint characteristic determine fingerprint image to be identified and reference finger image whether successful match, make it possible to needle
Corresponding matching algorithm is taken to match the number for the information content for including in any region, and can be in different zones
Finger print information all effectively extracted, to improve the utilization rate of finger print information in fingerprint identification process, be conducive to improve
The success rate and accuracy of fingerprint recognition.
In addition, the scheme handled in compared with the prior art entire fingerprint image, technical solution of the present invention by
In only carrying out relevant treatment to the multiple regions of division, therefore the storage of finger print information in fingerprint identification process can be effectively reduced
Space, while the time spent by entire fingerprint identification process is shortened, realize the quick identification to fingerprint image.
In the above-mentioned technical solutions, it is preferable that the determination unit is specifically used for: if any area in the multiple region
The matching rate of fingerprint characteristic in domain is all larger than or is equal to predetermined threshold, it is determined that the fingerprint image to be identified and the base
Quasi- fingerprint image successful match, if the matching rate of the fingerprint characteristic in any region in the multiple region be respectively less than it is described pre-
Determine threshold value, it is determined that the fingerprint image to be identified and the reference finger images match fail.
In the technical scheme, be all larger than by the matching rate of the fingerprint characteristic in any region in multiple regions or
When equal to predetermined threshold, fingerprint image to be identified and the success of reference finger images match are determined, otherwise, it determines finger to be identified
Print image and reference finger images match fail, and make it possible to improve the accuracy of fingerprint matching.
In the above-mentioned technical solutions, it is preferable that the division unit is specifically used for: the fingerprint image being divided into and is located at
The first area of the fingerprint image center and the second area on the outside of the first area.
In the technical scheme, fingerprint image is divided into first area and second area, and wherein first area, which is located at, refers to
Print image center, it includes finger print information amount it is relatively more;Second area is located on the outside of first area, it includes fingerprint
Information content is less than first area.In addition, the application to the division region of fingerprint image number and division mode do not limit, this
The technical staff in field can divide according to actual needs.
In the above-mentioned technical solutions, it is preferable that the matching treatment unit is specifically used for: to the first area using complete
Matching algorithm is matched, and is matched to the second area using the matching algorithm of multiple characteristic points.
In the technical scheme, the finger print information for including due to first area is most, so by using to first area
Full matching algorithm is matched, and the utilization rate of finger print information is effectively improved, and is conducive to the accuracy for improving fingerprint recognition;By
It is relatively fewer in the finger print information amount that second area includes, so matched by using the matching algorithm of multiple characteristic points,
Rather than matched using full matching algorithm, make it possible to greatly shorten the time spent by entire fingerprint identification process.
In the above-mentioned technical solutions, it is preferable that the matching treatment unit uses full matching algorithm to the first area
It carries out matched operation to specifically include: image enhancement processing is carried out to the first area, the image that obtains that treated;Extract institute
Characteristic information in image of stating that treated, to be matched with the feature in the corresponding region of the reference finger image.
According to the third aspect of the invention we, it is also proposed that a kind of terminal, comprising: as described in any of the above-described technical solution
Fingerprint recognition device.
By above technical scheme, by the way that collected fingerprint image is carried out different zones division, and to different zones
It is handled using different algorithms, can not only rapidly carry out fingerprint recognition, and can be improved in fingerprint identification process
The utilization rate of finger print information, and then improve the success rate and accuracy of fingerprint recognition.
Detailed description of the invention
Fig. 1 shows the effect diagram handled in the related technology collected fingerprint image;
Fig. 2 shows the schematic flow diagrams of the method for fingerprint recognition according to an embodiment of the invention;
Fig. 3 shows the schematic block diagram of the device of fingerprint recognition according to an embodiment of the invention;
Fig. 4 shows the schematic diagram according to an embodiment of the invention that region is divided to fingerprint image;
Fig. 5 shows the schematic diagram that feature point extraction is carried out to region 404 shown in Fig. 4;
Fig. 6, which is shown, carries out matched schematic diagram to different zones shown in Fig. 4.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying mode, the present invention is further described in detail.It should be noted that in the absence of conflict, the implementation of the application
Feature in example and embodiment can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, still, the present invention may be used also
To be implemented using other than the one described here other modes, therefore, protection scope of the present invention is not by described below
Specific embodiment limitation.
Fig. 2 shows the schematic flow diagrams of the method for fingerprint recognition according to an embodiment of the invention.
As shown in Fig. 2, the method for fingerprint recognition according to an embodiment of the invention, comprising: step 202, acquisition to
The fingerprint image of identification;Step 204, the fingerprint image is divided into multiple regions, and according to in the multiple region
The corresponding fingerprint matching algorithm of any region is by fingerprint characteristic and the corresponding area of reference finger image in any region
Feature in domain is matched;Step 206, it is determined according to the matching rate of the fingerprint characteristic in any region described to be identified
Fingerprint image and the reference finger image whether successful match.
In the technical scheme, the finger print information amount for including due to the different location of fingerprint image is different, pass through by
It collects fingerprint image and is divided into multiple regions, according to fingerprint matching algorithm corresponding with any region in multiple regions
Fingerprint characteristic in any region is matched with the feature in the corresponding region of reference finger image, and according to any region
The matching rate of interior fingerprint characteristic determine fingerprint image to be identified and reference finger image whether successful match, make it possible to needle
Corresponding matching algorithm is taken to match the number for the information content for including in any region, and can be in different zones
Finger print information all effectively extracted, to improve the utilization rate of finger print information in fingerprint identification process, be conducive to improve
The success rate and accuracy of fingerprint recognition.
In addition, the scheme handled in compared with the prior art entire fingerprint image, technical solution of the present invention by
In only carrying out relevant treatment to the multiple regions of division, therefore the storage of finger print information in fingerprint identification process can be effectively reduced
Space, while the time spent by entire fingerprint identification process is shortened, realize the quick identification to fingerprint image.
In the above-mentioned technical solutions, it is preferable that according to the determination of the matching rate of the fingerprint characteristic in any region
Fingerprint image to be identified and the reference finger image whether successful match the step of specifically include: if in the multiple region
Any region in fingerprint characteristic matching rate be all larger than or be equal to predetermined threshold, it is determined that the fingerprint image to be identified
Succeed with the reference finger images match, if the matching rate of the fingerprint characteristic in any region in the multiple region is small
In the predetermined threshold, it is determined that the fingerprint image to be identified and the reference finger images match fail.
In the technical scheme, be all larger than by the matching rate of the fingerprint characteristic in any region in multiple regions or
When equal to predetermined threshold, fingerprint image to be identified and the success of reference finger images match are determined, otherwise, it determines finger to be identified
Print image and reference finger images match fail, and make it possible to improve the accuracy of fingerprint matching.
In the above-mentioned technical solutions, it is preferable that the step of fingerprint image is divided into multiple regions specifically includes: will
The fingerprint image is divided into positioned at the first area of the fingerprint image center and on the outside of the first area
Second area.
In the technical scheme, fingerprint image is divided into first area and second area, and wherein first area, which is located at, refers to
Print image center, it includes finger print information amount it is relatively more;Second area is located on the outside of first area, it includes fingerprint
Information content is less than first area.In addition, the application to the division region of fingerprint image number and division mode do not limit, this
The technical staff in field can divide according to actual needs.
In the above-mentioned technical solutions, it is preferable that according to fingerprint corresponding with any region in the multiple region
The feature in the corresponding region of fingerprint characteristic and reference finger image in any region is subjected to matched step with algorithm
Suddenly it specifically includes: the first area being matched using full matching algorithm, multiple characteristic points are used to the second area
Matching algorithm matched.
In the technical scheme, the finger print information for including due to first area is most, so by using to first area
Full matching algorithm is matched, and the utilization rate of finger print information is effectively improved, and is conducive to the accuracy for improving fingerprint recognition;By
It is relatively fewer in the finger print information amount that second area includes, so matched by using the matching algorithm of multiple characteristic points,
Rather than matched using full matching algorithm, make it possible to greatly shorten the time spent by entire fingerprint identification process.
In the above-mentioned technical solutions, it is preferable that the step of first area is matched using full matching algorithm tool
Body includes: to carry out image enhancement processing to the first area, the image that obtains that treated;It extracts in treated the image
Characteristic information, to be matched with the feature in the corresponding region of the reference finger image.
Fig. 3 shows the schematic block diagram of the device of fingerprint recognition according to an embodiment of the invention.
As shown in figure 3, the device 300 of fingerprint recognition according to an embodiment of the invention, comprising: acquisition unit 302,
Division unit 304, matching treatment unit 306 and determination unit 308.
Wherein, acquisition unit 302, for acquiring fingerprint image to be identified;Division unit 304 is used for the fingerprint
Image is divided into multiple regions;Matching treatment unit 306, for according to corresponding with any region in the multiple region
Fingerprint matching algorithm by any region fingerprint characteristic and reference finger image corresponding region in feature carry out
Match;Determination unit 308, for determining the fingerprint image to be identified according to the matching rate of the fingerprint characteristic in any region
As with the reference finger image whether successful match.
In the technical scheme, the finger print information amount for including due to the different location of fingerprint image is different, pass through by
It collects fingerprint image and is divided into multiple regions, according to fingerprint matching algorithm corresponding with any region in multiple regions
Fingerprint characteristic in any region is matched with the feature in the corresponding region of reference finger image, and according to any region
The matching rate of interior fingerprint characteristic determine fingerprint image to be identified and reference finger image whether successful match, make it possible to needle
Corresponding matching algorithm is taken to match the number for the information content for including in any region, and can be in different zones
Finger print information all effectively extracted, to improve the utilization rate of finger print information in fingerprint identification process, be conducive to improve
The success rate and accuracy of fingerprint recognition.
In addition, the scheme handled in compared with the prior art entire fingerprint image, technical solution of the present invention by
In only carrying out relevant treatment to the multiple regions of division, therefore the storage of finger print information in fingerprint identification process can be effectively reduced
Space, while the time spent by entire fingerprint identification process is shortened, realize the quick identification to fingerprint image.
In the above-mentioned technical solutions, it is preferable that the determination unit 308 is specifically used for: if appointing in the multiple region
The matching rate of fingerprint characteristic in one region is all larger than or is equal to predetermined threshold, it is determined that the fingerprint image to be identified and institute
The success of reference finger images match is stated, if the matching rate of the fingerprint characteristic in any region in the multiple region is respectively less than institute
State predetermined threshold, it is determined that the fingerprint image to be identified and the reference finger images match fail.
In the technical scheme, be all larger than by the matching rate of the fingerprint characteristic in any region in multiple regions or
When equal to predetermined threshold, fingerprint image to be identified and the success of reference finger images match are determined, otherwise, it determines finger to be identified
Print image and reference finger images match fail, and make it possible to improve the accuracy of fingerprint matching.
In the above-mentioned technical solutions, it is preferable that the division unit 304 is specifically used for: the fingerprint image is divided into
First area positioned at the fingerprint image center and the second area on the outside of the first area.
In the technical scheme, fingerprint image is divided into first area and second area, and wherein first area, which is located at, refers to
Print image center, it includes finger print information amount it is relatively more;Second area is located on the outside of first area, it includes fingerprint
Information content is less than first area.In addition, the application to the division region of fingerprint image number and division mode do not limit, this
The technical staff in field can divide according to actual needs.
In the above-mentioned technical solutions, it is preferable that the matching treatment unit 306 is specifically used for: adopting to the first area
It is matched with full matching algorithm, the second area is matched using the matching algorithm of multiple characteristic points.
In the technical scheme, the finger print information for including due to first area is most, so by using to first area
Full matching algorithm is matched, and the utilization rate of finger print information is effectively improved, and is conducive to the accuracy for improving fingerprint recognition;By
It is relatively fewer in the finger print information amount that second area includes, so matched by using the matching algorithm of multiple characteristic points,
Rather than matched using full matching algorithm, make it possible to greatly shorten the time spent by entire fingerprint identification process.
In the above-mentioned technical solutions, it is preferable that the matching treatment unit 306 calculates the first area using full matching
Method carries out matched operation and specifically includes: carrying out image enhancement processing to the first area, the image that obtains that treated;It extracts
Characteristic information in treated the image, to be matched with the feature in the corresponding region of the reference finger image.
The invention also provides a kind of terminal (not shown)s, comprising: the device of fingerprint recognition as shown in Figure 3
300。
Technical solution of the present invention is further illustrated below.
As shown in figure 4, collecting fingerprint image to fingerprint capturer carries out region division, it is divided into fingerprint image
The region 402 of heart position and the region 404 on the outside of region 402, and the size in region 402 is less than figure shown in Fig. 1
As 102 occupied area sizes.And the memory space that the image that the region 402 and region 404 after dividing are included occupies
Less than the occupied memory space of image 102 shown in Fig. 1.
For region 402, image enhancement and feature information extraction can be carried out, multiple spot spy can be carried out for region 404
The extraction of reference breath, to obtain multiple characteristic point informations, black dot as shown in Figure 5 indicates the characteristic point extracted, this
A little characteristic points have that feature is obvious, the strong feature of information content.
When fingerprint image processed in Fig. 4 and Fig. 5 is matched with master-fingerprint image, as shown in fig. 6, to fingerprint
The different zones of image use different matching algorithms, specifically, full matching algorithm are used to region 402, in region 402
Characteristic information carries out matching one by one, obtains matching rate P1;Single-point feature information in region 404 is matched, is obtained
With rate P2, and when the matching rate of P1 and P2 is all larger than or is equal to P3 (threshold values that P3 is preset successful match), determine
Successful match, otherwise it fails to match.
Above-mentioned technical proposal of the invention has the advantage that
1, less than the memory space of existing fingerprint recognition.It deposits in the memory space+region 404 in region 402 shown in Fig. 4
The memory space of image 102 after storing up Fingerprint Image Segmentation shown in space < Fig. 1;
2, match time is less than the match time of scheme shown in Fig. 1.Region 402 is less than the figure after dividing shown in Fig. 1
As 102, so the match time in region 402 is less than the match time of image 102, and multiple spot feature is only done in region 404
Matching, so the match time of Fig. 4 < Fig. 1 match time.
3, there is more acurrate, sufficient fingerprint feature information.In Fig. 4, the finger print information in region 402 is to be easiest to extract
To and be the most part of information content;The extraction that multiple spot feature is only done for region 404 is to improve finger print information utilization rate,
And improve the preferred plan of fingerprint matching accuracy;Other image sections are given up, because the partial information is different
Surely (size for being limited to fingerprint mould group on current mobile phone) can be extracted, gives up the part and nor affects on matched success rate.
The technical scheme of the present invention has been explained in detail above with reference to the attached drawings, and the invention proposes a kind of new fingerprint recognitions
Scheme, by the way that collected fingerprint image is carried out different zones division, and to different zones using at different algorithms
Reason, can not only rapidly carry out fingerprint recognition, and can be improved the utilization rate of finger print information in fingerprint identification process, in turn
Improve the success rate and accuracy of fingerprint recognition.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of method of fingerprint recognition characterized by comprising
Acquire fingerprint image to be identified;
The fingerprint image is divided into multiple regions, and according to fingerprint corresponding with any region in the multiple region
Matching algorithm matches the fingerprint characteristic in any region with the feature in the corresponding region of reference finger image;
Determine that the fingerprint image to be identified refers to the benchmark according to the matching rate of the fingerprint characteristic in any region
Print image whether successful match.
2. the method for fingerprint recognition according to claim 1, which is characterized in that special according to the fingerprint in any region
The matching rate of sign determine the fingerprint image to be identified and the reference finger image whether successful match the step of specifically wrap
It includes:
If the matching rate of the fingerprint characteristic in any region in the multiple region is all larger than or is equal to predetermined threshold, it is determined that
The fingerprint image to be identified and the reference finger images match are successful, if in any region in the multiple region
The matching rate of fingerprint characteristic is respectively less than the predetermined threshold, it is determined that the fingerprint image to be identified and the reference finger figure
As it fails to match.
3. the method for fingerprint recognition according to claim 1 or 2, which is characterized in that be divided into the fingerprint image more
The step of a region, specifically includes:
The fingerprint image is divided into positioned at the first area of the fingerprint image center and positioned at the first area
The second area in outside.
4. the method for fingerprint recognition according to claim 3, which is characterized in that according to any in the multiple region
The corresponding fingerprint matching algorithm in region will be in the corresponding region of fingerprint characteristic and reference finger image in any region
Feature the step of being matched specifically include:
The first area is matched using full matching algorithm, the second area is calculated using the matching of multiple characteristic points
Method is matched.
5. the method for fingerprint recognition according to claim 4, which is characterized in that calculated using full matching the first area
The step of method is matched specifically includes:
Image enhancement processing is carried out to the first area, the image that obtains that treated;
Extract the characteristic information in treated the image, with the feature in the corresponding region of the reference finger image into
Row matching.
6. a kind of device of fingerprint recognition characterized by comprising
Acquisition unit, for acquiring fingerprint image to be identified;
Division unit, for the fingerprint image to be divided into multiple regions;
Matching treatment unit, will be described for basis fingerprint matching algorithm corresponding with any region in the multiple region
Fingerprint characteristic in any region is matched with the feature in the corresponding region of reference finger image;
Determination unit, for determining the fingerprint image to be identified according to the matching rate of the fingerprint characteristic in any region
With the reference finger image whether successful match.
7. the device of fingerprint recognition according to claim 6, which is characterized in that the determination unit is specifically used for:
If the matching rate of the fingerprint characteristic in any region in the multiple region is all larger than or is equal to predetermined threshold, it is determined that
The fingerprint image to be identified and the reference finger images match are successful, if in any region in the multiple region
The matching rate of fingerprint characteristic is respectively less than the predetermined threshold, it is determined that the fingerprint image to be identified and the reference finger figure
As it fails to match.
8. the device of fingerprint recognition according to claim 6 or 7, which is characterized in that the division unit is specifically used for:
The fingerprint image is divided into positioned at the first area of the fingerprint image center and positioned at the first area
The second area in outside.
9. the device of fingerprint recognition according to claim 8, which is characterized in that the matching treatment unit is specifically used for:
The first area is matched using full matching algorithm, the second area is calculated using the matching of multiple characteristic points
Method is matched.
10. the device of fingerprint recognition according to claim 9, which is characterized in that the matching treatment unit is to described
One region carries out matched operation using full matching algorithm and specifically includes:
Image enhancement processing is carried out to the first area, the image that obtains that treated;
Extract the characteristic information in treated the image, with the feature in the corresponding region of the reference finger image into
Row matching.
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PCT/CN2015/085828 WO2017008349A1 (en) | 2015-07-16 | 2015-07-31 | Fingerprint recognition method and device |
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---|---|---|---|---|
US10339178B2 (en) * | 2015-06-30 | 2019-07-02 | Samsung Electronics Co., Ltd. | Fingerprint recognition method and apparatus |
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WO2018170658A1 (en) * | 2017-03-20 | 2018-09-27 | 深圳市汇顶科技股份有限公司 | Fingerprint recognition method and apparatus |
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WO2019075601A1 (en) * | 2017-10-16 | 2019-04-25 | 厦门中控智慧信息技术有限公司 | Palm vein recognition method and device |
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CN109086677A (en) * | 2018-07-09 | 2018-12-25 | 保山市质量技术监督综合检测中心 | A kind of auth method and system based on fingerprint recognition |
CN113191300B (en) * | 2020-10-14 | 2024-01-26 | 神盾股份有限公司 | Method, apparatus and computer readable medium for fingerprint image recognition |
CN115984948B (en) * | 2023-03-20 | 2023-05-26 | 广东广新信息产业股份有限公司 | Face recognition method applied to temperature sensing and electronic equipment |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1521684A (en) * | 2003-02-13 | 2004-08-18 | 合肥工业大学 | Synergic fingerprint identification method |
CN1664847A (en) * | 2005-03-17 | 2005-09-07 | 上海交通大学 | Embedded system fingerprint identification and matching method |
CN1831847A (en) * | 2006-03-28 | 2006-09-13 | 北京握奇数据系统有限公司 | Fingerprint characteristic quickly matching method, device and application |
US20130142405A1 (en) * | 2010-07-29 | 2013-06-06 | Fujitsu Limited | Biometric authentication device, biometric authentication method and computer program for biometric authentication, and biometric information registration device |
CN104036266A (en) * | 2014-07-03 | 2014-09-10 | 南昌欧菲生物识别技术有限公司 | Fingerprint registration method, fingerprint recognition method, fingerprint recognition device and terminal device |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1512437A (en) * | 2002-12-30 | 2004-07-14 | 北京汉王科技有限公司 | Multifunctional off-line finger print attendance machine |
-
2015
- 2015-07-16 CN CN201510420617.3A patent/CN105608409B/en active Active
- 2015-07-31 WO PCT/CN2015/085828 patent/WO2017008349A1/en active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1521684A (en) * | 2003-02-13 | 2004-08-18 | 合肥工业大学 | Synergic fingerprint identification method |
CN1664847A (en) * | 2005-03-17 | 2005-09-07 | 上海交通大学 | Embedded system fingerprint identification and matching method |
CN1831847A (en) * | 2006-03-28 | 2006-09-13 | 北京握奇数据系统有限公司 | Fingerprint characteristic quickly matching method, device and application |
US20130142405A1 (en) * | 2010-07-29 | 2013-06-06 | Fujitsu Limited | Biometric authentication device, biometric authentication method and computer program for biometric authentication, and biometric information registration device |
CN104036266A (en) * | 2014-07-03 | 2014-09-10 | 南昌欧菲生物识别技术有限公司 | Fingerprint registration method, fingerprint recognition method, fingerprint recognition device and terminal device |
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