CN101004788B - System and method of evaluating algorithm for recognizing fingerprint on certificate - Google Patents
System and method of evaluating algorithm for recognizing fingerprint on certificate Download PDFInfo
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- CN101004788B CN101004788B CN2006100010333A CN200610001033A CN101004788B CN 101004788 B CN101004788 B CN 101004788B CN 2006100010333 A CN2006100010333 A CN 2006100010333A CN 200610001033 A CN200610001033 A CN 200610001033A CN 101004788 B CN101004788 B CN 101004788B
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- 238000000034 method Methods 0.000 title description 26
- 238000012360 testing method Methods 0.000 claims abstract description 63
- 238000011156 evaluation Methods 0.000 claims abstract description 22
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 description 9
- 210000003811 finger Anatomy 0.000 description 9
- 238000000605 extraction Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 239000000284 extract Substances 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000012795 verification Methods 0.000 description 3
- 238000012935 Averaging Methods 0.000 description 2
- 210000004556 brain Anatomy 0.000 description 2
- 210000004932 little finger Anatomy 0.000 description 2
- 210000003813 thumb Anatomy 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 210000005224 forefinger Anatomy 0.000 description 1
- 238000005498 polishing Methods 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
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Abstract
An evaluation system of certificate fingerprint identification algorithm setting up test-sample fingerprint library and test module on test platform, providing tested certificate fingerprint identification algorithm onto test platform through interface as per interface protocol, comparing tested algorithm with fingerprint file in said library one by one and counting out identification rate index and identification time as well as service index of tested algorithm by test module according to comparison result.
Description
Technical field
Algorithm for recognizing fingerprint on certificate evaluation system of the present invention relates to computing machine living things feature recognition field, especially certificate fingerprint identification technology field.
Background technology
The biological identification technology of rising the nineties in 20th century has become gordian technique and the industry greatly developed countries in the world, is new century one of technology of focus the most in the world.Fingerprint identification technology is minimum as cost in the biological identification technology, use technology the most easily, has been applied to various safety certification products more and more widely.The certificate automatic system of fingerprint recognition is one of typical application product, comprises the login and the comparison of fingerprint, and promptly on-the-spot typing fingerprint carries fingerprint with card compares, and carries out the same authentication of the testimony of a witness.The core technology of certificate fingerprint recognition system is the algorithm to the certificate fingerprint recognition, and the quality of algorithm is the deciding factor of indexs such as the quality, ease for use of certificate fingerprint recognition system.Some weigh the evaluation method of fingerprint recognition system performance the development need of market and technology.The invention provides the complete certificate of a cover with fingerprint ' one to one ' recognizer test platform, by making objective, just evaluation to the test of algorithm for recognizing fingerprint on certificate and then to whole recognition system.Test is the discrimination index that the operation test procedure obtains algorithm for recognizing fingerprint on the sample fingerprint storehouse of a benchmark (refuses publishing rate, refuses sincere, accuracy of system identification, equates error rate), recognition time, ease for use index (refusing to recognize rate, retry rate) etc.This sample storehouse is the fingerprint base of setting up according to actual distribution pattern of population.Gather the crowd's of fingerprint sex, age, professional ratio and select according to meeting distribution pattern of population, build the storehouse scale and reach some, the process simulation practical application of collection has guaranteed objective, the fairness of test result.
Summary of the invention
The goal of the invention of algorithm for recognizing fingerprint on certificate evaluation system of the present invention and method thereof provides a kind of quality to algorithm for recognizing fingerprint on certificate, ease for use etc. and makes evaluation system and the evaluation method thereof that objective and fair is estimated.
The technical scheme that realizes the foregoing invention purpose is as follows.
The algorithm for recognizing fingerprint on certificate evaluation system comprises:
One test platform is made up of test sample book fingerprint base and test module;
Test module has a test module interface, and tested algorithm for recognizing fingerprint on certificate is submitted to test platform by this test module interface according to interface protocol.
The following foundation of described test sample book fingerprint base:
A. according to some, the crowd of different sexes, age, occupation gathers fingerprint image;
B. fingerprint image parameter,
Resolution: 500dpi;
Gray shade scale: 256;
Pixel size: 256 * 360 (wide * height);
File layout: bmp;
C. the fingerprint collecting mode is the plane live body.
Described tested algorithm for recognizing fingerprint on certificate is submitted to the form of ocx control according to interface protocol.
Implementing an algorithm for recognizing fingerprint on certificate evaluation carries out according to the following steps:
A. build test platform;
B. algorithm for recognizing fingerprint on certificate is inserted test platform;
C. the characteristics of image that from the test sample book fingerprint base, takes the fingerprint, the generating feature storehouse;
D., the rate of refusing publishing is set filters the bad fingerprint of some, generate the new feature storehouse;
E. carry out referring to together comparison;
F. carry out different finger comparison;
G. statistical data analysis.
Standard of the present invention the term that in to the algorithm for recognizing fingerprint on certificate evaluation procedure, uses as follows:
Login (enrollment)
Fingerprint image is carried out the process of feature extraction.
Comparison (matching)
The process that one piece of fingerprint characteristic and another piece fingerprint characteristic compare.
Matching similarity similarity
The similarity degree of fingerprint comparison, the numeric representation with 0.00～1.00, it is high more to be worth big more similarity degree.
Refuse publishing (enrollment rejection)
Distributing in the suitable test library, do not reach the login requirement with the use crowd of system.
Refuse true (false rejection)
Distributing quite with the use crowd of system and reaching in the test library of login requirement, the matching similarity of identical fingerprints comparison is lower than the matching similarity of a certain setting.
Recognize vacation (false acceptance)
Distributing quite with the use crowd of system and reaching in the test library of login requirement, the matching similarity of fingerprint comparison inequality is higher than the matching similarity of a certain setting.
Refuse to recognize (verification rejection)
Distributing quite with the use crowd of system and reaching in the test library of login requirement, identical fingerprints is compared several times continuously, and the number of times that the matching similarity of comparison is lower than the matching similarity of a certain setting accounts for the ratio of continuous comparison number of times greater than 50%.
Refuse publishing rate (enrollment rejection rate), be called for short (ERR)
Distributing in the suitable test library with the use crowd of system, the fingerprint ratio of refusing publishing is represented with number percent.
Refuse sincere (false rejection rate), be called for short (FRR)
Distributing quite with the use crowd of system and reaching in the test library of login requirement, refuse the ratio that genuine number of times accounts for total comparison number of times, represent with number percent.
Accuracy of system identification (false acceptance rate) is called for short (FAR)
Distributing quite with the use crowd of system and reaching in the test library of login requirement, recognize the ratio that false number of times accounts for total comparison number of times, represent with number percent.
Equate error rate (equal error rate), be called for short (EER)
Distributing quite with the use crowd of system and reaching in the test library of login requirement, when certain matching similarity, refuse the sincere accuracy of system identification that equals, the numerical value of this moment is represented with number percent for equating error rate.
Refuse to recognize rate (verification rejection rate), be called for short (VRR)
Distributing quite with the use crowd of system and reaching in the test library of login requirement, the fingerprint ratio of refusing to recognize is represented with number percent.
Retry rate (retry rate) is called for short (RR)
Distributing quite with the use crowd of system and reaching in the test library of login requirement, when the fingerprint of not refusing to recognize carries out referring to comparison together, refuse the ratio that genuine number of times accounts for total comparison number of times, represent with number percent.
Login time (enrollment time)
The averaging time that single login spent is with millisecond (ms) expression.
Comparison time (matching time)
The averaging time that the single comparison is spent is with millisecond (ms) expression.
Recognition time (verification time)
Login time and comparison time sum are with millisecond (ms) expression.
The preferred version that fingerprint image extracts in the test sample book fingerprint base is:
Crowd's number is no less than 100 people, and everyone is no less than one piece of fingerprint, and every piece of fingerprint collecting number of times is no less than 3 times; Crowd's sex ratio man, woman respectively account for 50%; 16-35 year account for 50%, accounting for of 36-50 year accounts for 15% more than 35%, 51 years old; The physical labourer accounts for 80%, the brain worker accounts for 20%.
When tested algorithm was submitted to test platform according to the test module interface protocol with the form of ocx control, control property and control method were as follows:
The control title
The control title is Fpr, and the control file name is Fpr.ocx.
Control property
Fingerprint capturer code (DeviceCode)
Default value is FFH.
Refer to position code (FingerCode)
Default value 00H.
The matching similarity that obtains after the comparison (Similarity)
Value is 0.00～1.00,0.00 for not matching fully, and 1.00 are coupling fully.Default value 0.
Comparison threshold value (Threshold)
Be used for judging the result of comparison.Be made as 11 grades (0～10, step-length 1) with matching similarity (0.00～1.00, step-length 0.1) correspondence.Default value 5.
The control method
FingerExtract: extract feature from 1 fingerprint image file, and be saved in 1 fingerprint characteristic file.
FeatureMatch: the fingerprint characteristic file to 2 appointments is compared, and draws matching similarity, and matching similarity is higher than the comparison thresholding of setting, then two fingerprint characteristic file couplings; Matching similarity is lower than the comparison thresholding of setting, and then two fingerprint characteristic files do not match.
FeatureExtract: extract feature from 3 fingerprint image files, be saved in 1 fingerprint characteristic file after comprehensive.
FingerMatch: the fingerprint characteristic file of fingerprint image file and appointment is compared, draw matching similarity, matching similarity is higher than the comparison thresholding of setting, then two fingerprint characteristic file couplings; Matching similarity is lower than the comparison thresholding of setting, and then two fingerprint characteristic files do not match.
The structure of the fingerprint characteristic file that generates according to the control method is as follows:
Table 1 fingerprint characteristic file structure
| Field | Relative position | Length (byte) | Content | Explanation | Remarks |
| |
1 | 1 | File header. | By User Defined. | Indispensable |
| Field 2 | 2 | 1 | Version number. | The version number of expression fingerprint feature point extraction algorithm, FFH represents the unknown. | Indispensable |
| Field 3 | 3 | 1 | The fingerprint capturer code. | What expression was used is any fingerprint capturer, and FFH represents the unknown. | Optional |
| Field 4 | 4 | 1 | Algorithm producer code. | Which family's fingerprint collecting algorithm what expression was used is, FFH represents the unknown. | Indispensable |
| Field 5 | 5 | 1 | The feature point extraction state. | Character " A " is representation feature point " normal extraction " (41H); Character " R " (52H) is represented " refusing publishing "; FFH represents the unknown.When fingerprint quality mark during less than setting value, fingerprint feature point extraction state is " refusing publishing ". | Indispensable |
| Field 6 | 6～12 | 7 | Keep item. | Keep | |
| Field 7 | 13 | 1 | Refer to the position code. | Refer to that the position code sees Table 2 | Optional |
| Field 8 | 14 | 1 | The fingerprint quality mark. | Represent that with 00H～64H (0～100) 00H represents that quality is the poorest, 64H represents best in quality, and FFH represents not judge. | Optional |
| Field 9 | 15～16 | 2 | Keep item. | Keep |
| Field 10 | 17～19 | 3 | Center point coordinate. | Form is " XYY ", and " X ", " YY " be X, the Y coordinate position value of representation feature point respectively, and upper byte is preceding, low byte after.If no central point or do not use central point is defined as (0,0). | Optional |
| Field 11 | 20 | 1 | Unique point quantity. | The fingerprint of extract minutiae not, unique point quantity is 0 | Indispensable |
| Field 12 | 21～ | Characteristic point data. | Characteristic point data is totally 492 bytes, and wherein 360 bytes are characteristic, and 132 bytes are the reserved area.Characteristic writes down the characteristic point information of this fingerprint, is made up of the son field of the unique point equal number of regulation in the field 11.Each son field is used to write down single characteristic information, and length is 6 bytes, and form is " XYYRRQ ", and upper byte is preceding, low byte after.The X of " X ", " YY " representation feature point, Y coordinate position value, " RR " representation feature direction value, " Q " represents quality measure. |
Indispensable |
Table 2 refers to the position code table
| Refer to the position title | Code |
| Hand thumb | 01H |
| Right hand forefinger | 02H |
| Right hand middle finger | 03H |
| Right hand fourth finger | 04H |
| Right hand little finger of toe | 05H |
| The left hand thumb | 06H |
| Left index finger | 07H |
| The left hand middle finger | 08H |
| The left hand fourth finger | 09H |
| The left hand little finger of toe | 10H |
| The finger position that can not judge | 00H |
Description of drawings
The process flow diagram that Fig. 1 once evaluates and tests for algorithm for recognizing fingerprint on certificate evaluation system of the present invention;
Fig. 2 for algorithm for recognizing fingerprint on certificate evaluation system of the present invention with the control method characteristics of image generating feature document flowchart that takes the fingerprint;
Fig. 3 carries out referring to together the comparison process flow diagram for algorithm for recognizing fingerprint on certificate evaluation system of the present invention;
Fig. 4 carries out different finger comparison process flow diagram for algorithm for recognizing fingerprint on certificate evaluation system of the present invention;
The equal error rate synoptic diagram that Fig. 5 estimates for algorithm for recognizing fingerprint on certificate evaluation system of the present invention.
Embodiment
Now in conjunction with the accompanying drawings and embodiments algorithm for recognizing fingerprint on certificate evaluation system of the present invention and method thereof are described further.
1. set up test sample book fingerprint base and test module and be built into test platform jointly.
The mode of setting up the test sample book fingerprint base is as follows:
The fingerprint image parameter
Resolution: 500dpi
Gray shade scale: 256
Pixel size: 256 * 360 (wide * height)
File layout: bmp
Gather requirement
Mode: plane live body.
Quantity: be no less than 200 people, everyone is no less than one piece of fingerprint, and every piece of fingerprint collecting number of times is no less than 3 times.
Sex: the male sex 100 people, women 100 people.
Age: 16-35 year 100 people, 36-50 year account for 75 people, account for 30 people more than 51 years old.
Occupation: the physical labourer accounts for 160 people, the brain worker accounts for 40 people.
By method of determining and calculating by the module interface on the test module, be submitted to test platform with the form of ocx control.
3. the characteristics of image that from the test sample book fingerprint base, takes the fingerprint, the generating feature storehouse
Login
In the test sample book fingerprint base, use the FingerExtract method of ocx control that all fingerprint image files are carried out feature point extraction, extracting state recording is " normal extraction ", generating feature storehouse 1.
Login time
In feature database 1 generative process, write down total test duration and total testing time, calculate login time in view of the above, that is:
Login time=feature database 1 generate the T.T./total testing time
Login time is accurate to 1ms.
4. refer to comparison together
Refuse publishing rate
Get value defined in the matching similarity (0.00～1.00) for refusing publishing thresholding.In feature database 1, use the FeatureMatch method of ocx control, getting second (containing) later tag file of a certain piece of fingerprint compares with first tag file of this fingerprint respectively, obtain the plurality of matching similarity, calculate the mean value of these matching similarities, compare with refusing publishing thresholding then, if then declare this piece fingerprint for " refusing publishing " less than refusing publishing thresholding.
All fingerprint comparisons reset and refuse publishing thresholding after finishing, and calculate as stated above to be lower than the fingerprint number that this refuses publishing thresholding when difference is refused publishing thresholding, account for the number percent of total fingerprint number, that is:
Refuse publishing fingerprint number/total fingerprint number * 100% that rate=be lower than is refused publishing thresholding
Be lower than the quantity that the fingerprint number of refusing publishing thresholding and total fingerprint number average are meant fingerprint inequality.
The a certain rate of refusing publishing is set, refuses publishing thresholding when calculating this and refusing publishing rate, with the mean value of comparison matching similarity be lower than this refuse publishing thresholding the extraction state recording of all fingerprint characteristic files be " refusing publishing ", generating feature storehouse 2.
Refuse sincere
In feature database 2, use the FeatureMatch method of ocx control, with the tag file of a certain piece of fingerprint, compare with other tag files of this piece fingerprint, record matching similarity value is calculated the number percent that is lower than this matching similarity when different matching similarity, that is: then
Refuse sincere=be lower than the number of times of certain matching similarity/total testing time * 100%
The fingerprint characteristic file that is recorded as " refusing publishing " does not participate in comparison.
Comparison time
In refusing sincere test process, write down total test duration and total testing time, calculate comparison time in view of the above, that is:
Sincere total test duration of comparison time=refuse/total testing time
Comparison time is accurate to 0.01ms.
Recognition time
Recognition time=login time+comparison time
Recognition time is accurate to 1ms.
Refuse to recognize rate
In feature database 2, set a certain matching similarity, use the FeatureMatch method of ocx control, getting second (containing) later tag file of a certain piece of fingerprint compares with first tag file of this fingerprint respectively, the matching similarity value of statistics comparison is lower than the matching similarity number of times of setting, refuses to recognize if number of times, is then judged this fingerprint greater than 50% of total comparison number of times, calculating refuses to recognize the number percent that fingerprint accounts for, that is:
Refuse to recognize rate=refuse to recognize fingerprint number/total fingerprint number * 100%
Total fingerprint number is meant the quantity of fingerprint inequality, and the fingerprint characteristic file that is recorded as " refusing publishing " does not participate in comparison.
The retry rate
In feature database 2, set a certain matching similarity, use the FeatureMatch method of ocx control, getting second (containing) later tag file of a certain piece of fingerprint compares with first tag file of this fingerprint respectively, record matching similarity value, calculate the number percent that the number of times that is lower than this matching similarity accounts for total comparison number of times then, that is:
The number of times of certain matching similarity of retry rate=be lower than/always compare number of times * 100%
The fingerprint characteristic file that is recorded as " refusing publishing " and generation " refusing to recognize " does not participate in comparison.
5. different finger comparison
Accuracy of system identification
In feature database 2, use the FeatureMatch method of ocx control, with first tag file of a certain piece of fingerprint, compare with first tag file of other fingerprints, record matching similarity value is calculated the number percent that is higher than this matching similarity when different matching similarity, that is: then
The number of times of certain matching similarity of accuracy of system identification=be higher than/total testing time * 100%
The tag file that is recorded as " refusing publishing " does not participate in comparison.
Equate error rate
With the matching similarity is horizontal ordinate, and refusing sincere and accuracy of system identification is ordinate, draws out and refuses sincere-accuracy of system identification curve, as shown in Figure 2.Under certain matching similarity, refuse the sincere accuracy of system identification that equals, the numerical value of this moment is for equating error rate.
6. statistical data analysis
Various data, the index of gained in the above-mentioned evaluation and test process are carried out statistical study, the quality of algorithm for recognizing fingerprint on certificate, ease for use etc. are made an appraisal.
Claims (2)
1. algorithm for recognizing fingerprint on certificate evaluation system is characterized in that comprising:
One test platform is made up of test sample book fingerprint base and test module;
Described test module has a test module interface, and tested algorithm for recognizing fingerprint on certificate according to interface protocol, is submitted to test platform with the form of ocx control by this test module interface;
The following foundation of described test sample book fingerprint base:
A. according to some, the crowd of different sexes, age, occupation gathers fingerprint image;
B. fingerprint image parameter,
Resolution: 500dpi;
Gray shade scale: 256;
Pixel size: 256 wide * 360 height;
File layout: bmp;
C. the fingerprint collecting mode is the plane live body.
2. the evaluation method of algorithm for recognizing fingerprint on certificate evaluation system according to claim 1 is characterized in that, implements an algorithm for recognizing fingerprint on certificate evaluation and carries out according to the following steps:
A. build test platform;
B. algorithm for recognizing fingerprint on certificate is inserted test platform;
C. the characteristics of image that from the test sample book fingerprint base, takes the fingerprint, the generating feature storehouse;
D., the rate of refusing publishing is set filters the bad fingerprint of some, generate the new feature storehouse;
E. carry out referring to together comparison;
F. carry out different finger comparison;
G. statistical data analysis.
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| KR101651570B1 (en) * | 2014-04-28 | 2016-09-05 | 에스테크놀러지(주) | Method and apparatus for testing a fingerprint recognition device |
| CN104484652A (en) * | 2014-12-15 | 2015-04-01 | 广西科技大学 | Method for fingerprint recognition |
| CN104915659B (en) * | 2015-06-29 | 2019-02-05 | Oppo广东移动通信有限公司 | The test method and system of the fingerprint sensor of terminal |
| CN105404807B (en) * | 2015-12-08 | 2019-02-05 | Oppo广东移动通信有限公司 | Promote the method, device and mobile terminal of fingerprint recognition performance |
| WO2018027460A1 (en) * | 2016-08-08 | 2018-02-15 | 深圳市博信诺达经贸咨询有限公司 | Method and system for algorithm comparison |
| CN106845420A (en) * | 2017-01-22 | 2017-06-13 | 努比亚技术有限公司 | Detection method and detection means |
| CN106874953A (en) * | 2017-02-16 | 2017-06-20 | 北京小米移动软件有限公司 | Fingerprint recognition method of testing and device |
| CN110095666A (en) * | 2018-11-01 | 2019-08-06 | 上海图正信息科技股份有限公司 | A kind of fingerprint mould group automatization test system and its step |
| CN111027038A (en) * | 2019-11-19 | 2020-04-17 | 维沃移动通信有限公司 | Display method and electronic equipment |
| CN111639298B (en) * | 2020-05-15 | 2023-06-20 | 圣点世纪科技股份有限公司 | Running lot detection method of biological feature recognition algorithm |
| CN111931116B (en) * | 2020-08-12 | 2022-10-21 | 泉州艾奇科技有限公司 | Binding method of wearable equipment |
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| US6567765B1 (en) * | 2000-08-17 | 2003-05-20 | Siemens Corporate Research, Inc. | Evaluation system and method for fingerprint verification |
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