CN102467671A - Fingerprint anti-counterfeiting device and method thereof - Google Patents
Fingerprint anti-counterfeiting device and method thereof Download PDFInfo
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- CN102467671A CN102467671A CN2010105362138A CN201010536213A CN102467671A CN 102467671 A CN102467671 A CN 102467671A CN 2010105362138 A CN2010105362138 A CN 2010105362138A CN 201010536213 A CN201010536213 A CN 201010536213A CN 102467671 A CN102467671 A CN 102467671A
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Abstract
The invention discloses a fingerprint anti-counterfeiting device and a method thereof, wherein the device comprises a fingerprint extraction unit and a processing unit. The fingerprint extraction unit is for continuously extracting fingerprints of fingers and providing a plurality of fingerprint images according to the fingerprints. The processing unit is for ensuring elasticity values according to the deformation states of any two adjacent fingerprint images in the fingerprint images, wherein when the elasticity values conform to the preset elasticity value ranges, the judging unit judges that the finger under judging is a forged finger.
Description
Technical field
The present invention relates to a kind of fingerprint false proof device and method thereof, particularly a kind of flexible difference of true and false finger of utilizing is to carry out fingerprint false proof fingerprint false proof device and method thereof.
Background technology
Use for the fingerprint bio-identification, for a long time, be an important research for distinguishing of prosthetic finger always.At present, the method for many optical detectings is arranged, for example see through infrared technology detecting hypodermic biological nature (like the speed of blood oxygen concentration or blood flow), and then carry out distinguishing of true and false finger.Yet the method for this type all needs complicated infrared optical board, and its cost is higher comparatively speaking; And because this type of complicated optical system is difficult for the sensing component dimension shrinks, so for requiring compact portable electronic system such as mobile phone or mobile computer, be not easy to satisfy its user's demand.
In recent years; Can satisfy compact fingerprint acquisition apparatus is successfully developed and is applied on the above-mentioned portable electronic equipment; Its main sensing principle is not to come sensing with optical mode; But through being made in the microelectrode matrix of silicon semiconductor, and the conductive characteristic through human body is measured the capacitance of each electrode and the corresponding area of finger; The mode of its corresponding detection prosthetic finger also is through this ultimate principle, and the measurement through Skin Resistance is to differentiate the difference of corium skin and prosthetic finger material.
, because the diversity of prosthetic finger material has at present and can be close to the material appearance of the conductive characteristic of simulates real finger ideally.For example, with the made prosthetic finger of fruit juice gel (gummy finger), its impedance operator causes sensing apparatus can't effectively recognize true and false finger similar in appearance to human body skin.So this measurement with the method for differentiating true and false finger through the finger skin conductive characteristic is problematic.
For this reason, the present invention will adopt another kind of three dimensions image analysing computer mode, to address the above problem.
Summary of the invention
Because it is the problems of the prior art the object of the present invention is to provide a kind of fingerprint false proof device and method thereof, false proof because of the humidity and the excessive fingerprint that can't effectively carry out of resistance value overlapping scope of true and false finger to solve existing fingerprint method for anti-counterfeit.
According to the object of the invention, a kind of fingerprint false proof device is proposed, it comprises fingerprint extraction unit and processing unit.The fingerprint extraction unit extracts the fingerprint of finger continuously and according to fingerprint a plurality of fingerprint images is provided.Processing unit is confirmed elasticity number according to the deformed state of any two the adjacent fingerprint images in the fingerprint image, and when elasticity number met preset elasticity number scope, processing unit judged that finger is to forge finger.
Wherein, when elasticity number did not meet said preset elasticity number scope, processing unit judged that finger is a real finger.
Wherein, the fingerprint extraction unit also is provided with salient point, and salient point is used on finger, making deformation, and the deformation recovery state of the depressed part that is produced behind the processing unit analysis finger process salient point is confirmed elasticity number.
Wherein, processing unit analysis finger is confirmed elasticity number with respect to finger without the deformation of crossing salient point through the depressed part that is produced behind the salient point.
Wherein, processing unit is identifying after fingerprint image has singular point, is to launch a regional extent around the middle mind-set with singular point, and processing unit is analyzed the deformation of fingerprint image at the regional level again and confirmed elasticity number.
Purpose according to the present invention also proposes a kind of fingerprint method for anti-counterfeit, and it is applicable to the fingerprint false proof device, and this fingerprint false proof device comprises fingerprint extraction unit and processing unit.The fingerprint method for anti-counterfeit comprises: after the fingerprint extraction unit extracts the fingerprint of finger continuously and according to fingerprint a plurality of fingerprint images is provided; Processing unit is confirmed elasticity number according to the deformed state of any two the adjacent fingerprint images in the fingerprint image; When elasticity number met preset elasticity number scope, processing unit judged that finger is to forge finger.
Wherein, when elasticity number did not meet said preset elasticity number scope, processing unit judged that finger is a real finger.
Wherein, the fingerprint extraction unit also is provided with salient point, and salient point is used on finger, making deformation, and the deformation recovery state of the depressed part that is produced behind the processing unit analysis finger process salient point is confirmed elasticity number.
Wherein, processing unit analysis finger is confirmed elasticity number with respect to finger without the deformation of crossing salient point through the depressed part that is produced behind the salient point.
Wherein, processing unit is to launch a regional extent around the middle mind-set with singular point after identifying the singular point that fingerprint image has, and processing unit is analyzed the deformation of fingerprint image at the regional level again and made a return journey and decide elasticity number.
As stated, according to the present invention fingerprint false proof device and method thereof, it can have one or more following advantages:
(1) this fingerprint false proof device and method thereof can to carry out fingerprint false proof through analyzing the deformed state of finger when slipping over the fingerprint extraction unit, can improve the false proof correctness of fingerprint thus;
(2) this fingerprint false proof device and method thereof can be to launch deformation in the regional extent around the middle mind-set to carry out fingerprint false proof through analyzing with the fingerprint image singular point, can effectively promote identification of fingerprint and false proof efficient thus.
Description of drawings
Fig. 1 is the calcspar of fingerprint false proof device of the present invention;
Fig. 2 A is the synoptic diagram of first embodiment of fingerprint false proof device of the present invention;
Fig. 2 B is the different actual pattern of true and false fingerprint deformation of first embodiment of fingerprint false proof device of the present invention;
Fig. 3 is the synoptic diagram of second embodiment of fingerprint false proof device of the present invention;
Fig. 4 is the synoptic diagram of the 3rd embodiment of fingerprint false proof device of the present invention;
Fig. 5 is the process flow diagram of fingerprint method for anti-counterfeit of the present invention; And
Fig. 6 is another process flow diagram of fingerprint method for anti-counterfeit of the present invention.
The primary clustering symbol description:
1: the fingerprint false proof device;
10: the fingerprint extraction unit;
100: salient point;
11: processing unit;
2: finger;
20: fingerprint;
200,201,202: fingerprint image;
203: the prosthetic finger fingerprint image;
204: true finger print image;
21: depressed part;
3: elasticity number;
4: preset elasticity number scope;
5: singular point;
6: scope; And
S10～S40: step.
Embodiment
Consult Fig. 1, Fig. 1 is the calcspar of fingerprint false proof device of the present invention.As shown in Figure 1, fingerprint false proof device 1 of the present invention comprises fingerprint extraction unit 10 and processing unit 11.Fingerprint extraction unit 10 extracts the fingerprint 20 of finger 2 continuously, and according to fingerprint 20 a plurality of fingerprint images 200,201,202 is provided.Processing unit 11 determines elasticity number 3 according to the deformed state of any two the adjacent fingerprint images in the fingerprint image 200,201,202, and when elasticity number 3 met preset elasticity number scope 4, processing unit 11 judged that finger 2 is to forge finger.In addition, when elasticity number 3 did not meet preset elasticity number scope 4, processing unit 11 judged that finger 2 is real finger.
Consult Fig. 2 A, Fig. 2 A is the synoptic diagram of first embodiment of fingerprint false proof device of the present invention.Shown in Fig. 2 A, fingerprint extraction unit 10 is sensors of strip, and the user's of pending authentication finger 2 slips over fingerprint extraction unit 10 with the mode of sliding.Fingerprint extraction unit 10 also is provided with salient point 100, and salient point 100 is used on finger 2, making deformation, makes processing unit analyze the deformed state of finger 2 more easily.Fig. 2 A is merely synoptic diagram, when depressed part 21 that finger 2 is produced through salient points 100 backs in drawing just staying white mode to represent, and the fingerprint distortion of wherein also representing depressed part 21 with the mode of the dotted line kenel of answer gradually.When the user will point 2 by being pressed on the fingerprint extraction unit 10 and when beginning to slide, processing unit 11 is analyzed the deformation recovery state of the depressed parts 21 that finger 2 produced through salient points 100 backs immediately and is confirmed elasticity number 3; Processing unit 11 also can analyze depressed part 21 that finger 2 produced through salient points 100 back with respect to finger 2 without the part of crossing salient point 100, confirm elasticity number 3 according to deformed state between the two.
Consult Fig. 2 B, Fig. 2 B is the different actual pattern of true and false fingerprint deformation of first embodiment of fingerprint false proof device of the present invention.Shown in Fig. 2 B left, it is a prosthetic finger fingerprint image 203, because the elasticity number of prosthetic finger is more single, so the answer of its deformation (the answer situation of depressed part 21) is also very even; Relative, 204 of the true finger print images that Fig. 2 B is right-hand therefore can find that true finger print image 204 through recoil state salient point after also be uneven because the elasticity number of real finger is different everywhere.Therefore, the present invention can judge whether the fingerprint image that is extracted by fingerprint extraction unit 10 is to extract from real finger according to the difference of this kind strain mode and deformation quantity.In addition, when fingerprint register, except the storage of characteristic information, also stored the information of anti-prosthetic finger simultaneously, the information of this anti-prosthetic finger (being the elasticity number of various possible prosthetic finger materials) has promptly constituted preset scope.Because the material behavior of prosthetic finger (gummy finger) is comparatively single, so the variation of its deformation quantity will fall in the specific scope; Opposite, the deformation of real finger then varies with each individual, and the variation of its deformation quantity then can't be defined with specific scope.
Consult Fig. 3, Fig. 3 is the synoptic diagram of second embodiment of fingerprint false proof device of the present invention.As shown in Figure 3, present embodiment and maximum different being of first embodiment, fingerprint extraction unit 10 is not provided with salient point.Therefore, present embodiment is according to the variation of analyzing the deformation quantity on the fingerprint image, and is given by the finger 2 different elasticity values that are pressed on the fingerprint extraction unit 10, and the fingerprint image of per two (or more than) just calculates elasticity number one time.When processing unit 11 finds that it (is the preset elasticity number scope 4 of Fig. 1 that the pairing elasticity number of fingerprint image of wantonly two (or more than) adjacent (or continuous) falls in the specific scope; Or as the last embodiment institute information of the prosthetic finger of input in advance) time,, processing unit 11 points for forging just judging by the finger 2 that is pressed on the fingerprint extraction unit 10; Opposite, when processing unit 11 found that elasticity numbers do not fall in the specific scope (being the preset elasticity number scope 4 of Fig. 1), processing unit 11 was just judged by the finger 2 that is pressed on the fingerprint extraction unit 10 and is real finger.At this moment, processing unit 11 also can utilize other mechanism to confirm whether be real finger, for example with temperature or electric conductivity etc. judging by being pressed in finger 2 on the fingerprint extraction unit 10 for after the real finger further.
In addition, the anti-prosthetic finger method that the present invention adopted is to convert how much physical messages of the three dimensions of pointing lines (being deformation) to can measure and calculate information of voltage.For example; When fingerprint register; Except the storage of characteristic information, also stored the information of anti-prosthetic finger simultaneously, the information of this anti-prosthetic finger is obtained through the deformation quantity (having represented the vertical space information of fingerprint) that calculates the fingerprint image of in fixed-area, being sampled; And the mode of choosing of fixed-area also is of the present invention one big characteristic; Because the fingerprint line density in all directions and zone is different, if therefore not selected specific region and fixed-area, then resulting result has very big difference.
Consult Fig. 4, Fig. 4 is the synoptic diagram of the 3rd embodiment of fingerprint false proof device of the present invention.As shown in Figure 4; Maximum different being of present embodiment and preceding two embodiment; Processing unit 11 is after identifying fingerprint image 200 and having singular point 5; With singular point 5 for launching a regional extent 6 (being the specific region) around the middle mind-set, processing unit 11 analyze again fingerprint image 200 at the regional level the deformation in 6 confirm elasticity number 3.Wherein, the profile of this scope can be circle, ellipse or polygon, then is square in the present embodiment.Because fingerprint extraction unit 10 takes the fingerprint 20 and fingerprint image 200 is provided with the mode of continuous extraction, so, then do not calculate elasticity number and judge the true and false of finger 2 as long as processing unit 11 does not find to have singular point 5 in the fingerprint image 200; Have only after processing unit 11 is found to have comprised singular point 5 in the fingerprint image 200; Just according to singular point 5 spreading area scopes 6; And calculating elastic value within 6 at the regional level; And then judge the true and false of finger 2, so present embodiment can be effectively and significantly promote the false proof efficient of fingerprint and save the resource of system.
As for choosing of singular point; Then be summarized as follows: after obtaining original fingerprint image,, the fingerprint image value is redistributed between 0～255 earlier through the normalization (normalization) of fingerprint image; At present embodiment is the gray-scale distribution of 8 bits; After passing through putty (for utilizing the mean value of 3 * 3 nine palace lattice computed image) again and handle by normalized fingerprint, last according to the regular fingerprint image behind this putty, utilize 3 * 3 nine palace lattice to calculate the average gradient value of these nine palaces lattice; Thereby obtain the average angle value, calculate singular point (singular point) by the differentiation of vectorial angle figure (adjacent differential seat angle greater than predetermined angle time) again.
Although aforementioned in the process of explanation fingerprint false proof device of the present invention, the notion of fingerprint method for anti-counterfeit of the present invention has been described simultaneously, for ask know for the purpose of, below still provide the detailed description of process flow diagram in addition.
Consult Fig. 5, Fig. 5 is the process flow diagram of fingerprint method for anti-counterfeit of the present invention.Fingerprint method for anti-counterfeit of the present invention is applicable to the fingerprint false proof device, and this fingerprint false proof device comprises fingerprint extraction unit and processing unit.As shown in Figure 5, the fingerprint method for anti-counterfeit comprises the following steps:
(S10) the fingerprint extraction unit extracts the fingerprint of finger continuously and according to fingerprint a plurality of fingerprint images is provided;
(S20) processing unit is confirmed elasticity number according to the deformed state of any two the adjacent fingerprint images in the fingerprint image, and judges whether elasticity number meets preset elasticity number scope;
(S30) when elasticity number met preset elasticity number scope, processing unit judged that finger is to forge finger; And
(S40) when elasticity number did not meet preset elasticity number scope, processing unit judged that finger is a real finger.
Consult Fig. 6, Fig. 6 is another process flow diagram of fingerprint method for anti-counterfeit of the present invention.In some preferred embodiments, (S10) also can comprise the following steps: afterwards in above-mentioned step
(S11) processing unit is after identifying fingerprint image and having singular point, is to launch a regional extent around the middle mind-set with singular point; And
(S12) processing unit is confirmed elasticity number according to the deformed state of any two adjacent fingerprint images in this regional extent in the fingerprint image in this regional extent, and judges whether elasticity number meets preset elasticity number scope.
Then or (S40) in step (S12) back execution in step (S30).
The details of fingerprint method for anti-counterfeit of the present invention specifies when above stated specification fingerprint false proof device of the present invention, just repeats no more at this.
In sum, fingerprint false proof device of the present invention and method thereof can to carry out fingerprint false proof through analyzing the deformed state of finger when slipping over fingerprint extraction module, effectively improves the false proof correctness of fingerprint; And the present invention can be to launch deformation in the regional extent around the middle mind-set to carry out fingerprint false proof through analyzing singular point with fingerprint image also, and significantly promotes fingerprint recognition and false proof efficient.
The above is merely illustrative, but not is restricted.Any spirit of the present invention and category of not breaking away from all should be included in the scope of claim its equivalent modifications of carrying out or change.
Claims (10)
1. fingerprint false proof device comprises:
The fingerprint extraction unit extracts the fingerprint of pointing continuously, and according to said fingerprint a plurality of fingerprint images is provided; And
Processing unit is confirmed elasticity number according to the deformed state of any two the adjacent fingerprint images in said a plurality of fingerprint images, and when said elasticity number met preset elasticity number scope, said processing unit judged that said finger is to forge finger.
2. fingerprint false proof device according to claim 1, wherein, when said elasticity number did not meet said preset elasticity number scope, said processing unit judged that said finger is a real finger.
3. fingerprint false proof device according to claim 2; Wherein, Said fingerprint extraction unit also is provided with salient point; Said salient point is used on said finger, making deformation, and said processing unit is analyzed said finger and confirmed said elasticity number through the deformation recovery state of the depressed part that produced behind the said salient point.
4. fingerprint false proof device according to claim 3, wherein, the said finger of said processing unit system's analysis is not confirmed said elasticity number through the deformation of said salient point through the depressed part that is produced behind the said salient point with respect to said finger.
5. fingerprint false proof device according to claim 1; Wherein, Said processing unit is identifying after said fingerprint image has singular point; With said singular point is to launch a regional extent around the middle mind-set, and said processing unit is analyzed the deformation of said fingerprint image in said regional extent and confirmed said elasticity number.
6. fingerprint method for anti-counterfeit, said fingerprint method for anti-counterfeit is applicable to the fingerprint false proof device, and said fingerprint false proof device comprises fingerprint extraction unit and processing unit, and said fingerprint method for anti-counterfeit comprises the following steps:
The fingerprint extraction unary system is extracted the fingerprint of finger continuously, and according to said fingerprint a plurality of fingerprint images is provided; And
Processing unit is confirmed elasticity number according to the deformed state of any two the adjacent fingerprint images in said a plurality of fingerprint images, and when said elasticity number met preset elasticity number scope, processing unit judged that said finger is to forge finger.
7. fingerprint method for anti-counterfeit according to claim 6, wherein, when said elasticity number did not meet said preset elasticity number scope, processing unit judged that promptly said finger is a real finger.
8. fingerprint method for anti-counterfeit according to claim 7; Wherein, The fingerprint extraction unit also is provided with salient point; Said salient point is used on said finger, making deformation, and processing unit is analyzed said finger and confirmed said elasticity number through the deformation recovery state of the depressed part that produced behind the said salient point.
9. fingerprint method for anti-counterfeit according to claim 8, wherein, processing unit is analyzed said finger and is not confirmed said elasticity number through the deformation of said salient point through the depressed part that is produced behind the said salient point with respect to said finger.
10. fingerprint method for anti-counterfeit according to claim 6; Wherein, Processing unit is identifying after said fingerprint image has singular point; With said singular point is that middle mind-set is launched a regional extent all around, and processing unit is analyzed the deformation of said fingerprint image in this regional extent and confirmed said elasticity number.
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| CN201010536213.8A CN102467671B (en) | 2010-11-03 | 2010-11-03 | Fingerprint anti-counterfeiting device and method thereof |
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| CN201010536213.8A CN102467671B (en) | 2010-11-03 | 2010-11-03 | Fingerprint anti-counterfeiting device and method thereof |
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| CN102467671B CN102467671B (en) | 2014-10-08 |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106104574A (en) * | 2016-02-25 | 2016-11-09 | 深圳市汇顶科技股份有限公司 | Fingerprint identification method, device and terminal |
| CN109478235A (en) * | 2016-07-20 | 2019-03-15 | 赛普拉斯半导体公司 | Anti-spoofing for fingerprint controller is protected |
| CN113127836A (en) * | 2020-12-28 | 2021-07-16 | 神盾股份有限公司 | Method, apparatus, and non-transitory computer-readable storage medium for fingerprint authentication |
| US11455817B2 (en) | 2016-07-20 | 2022-09-27 | Cypress Semiconductor Corporation | Non-finger object rejection for fingerprint sensors |
| TWI799075B (en) * | 2021-03-03 | 2023-04-11 | 神盾股份有限公司 | Under-screen fingerprint sensing device and fingerprint sensing method |
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| JP2000123143A (en) * | 1998-10-13 | 2000-04-28 | Sony Corp | Ic card |
| CN1509454A (en) * | 2001-05-14 | 2004-06-30 | �����ɷ� | Method for detecting falsity in fingerprint recognition by classfying the texture of grey-tone differential values |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106104574A (en) * | 2016-02-25 | 2016-11-09 | 深圳市汇顶科技股份有限公司 | Fingerprint identification method, device and terminal |
| CN109478235A (en) * | 2016-07-20 | 2019-03-15 | 赛普拉斯半导体公司 | Anti-spoofing for fingerprint controller is protected |
| CN109478235B (en) * | 2016-07-20 | 2021-11-02 | 赛普拉斯半导体公司 | Anti-spoofing protection for fingerprint controllers |
| US11455817B2 (en) | 2016-07-20 | 2022-09-27 | Cypress Semiconductor Corporation | Non-finger object rejection for fingerprint sensors |
| CN113127836A (en) * | 2020-12-28 | 2021-07-16 | 神盾股份有限公司 | Method, apparatus, and non-transitory computer-readable storage medium for fingerprint authentication |
| TWI799075B (en) * | 2021-03-03 | 2023-04-11 | 神盾股份有限公司 | Under-screen fingerprint sensing device and fingerprint sensing method |
| US11636706B2 (en) | 2021-03-03 | 2023-04-25 | Egis Technology Inc. | Under-screen fingerprint sensing device and fingerprint sensing method |
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