CN102467671B - Fingerprint anti-counterfeiting device and method thereof - Google Patents
Fingerprint anti-counterfeiting device and method thereof Download PDFInfo
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- CN102467671B CN102467671B CN201010536213.8A CN201010536213A CN102467671B CN 102467671 B CN102467671 B CN 102467671B CN 201010536213 A CN201010536213 A CN 201010536213A CN 102467671 B CN102467671 B CN 102467671B
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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 provided with salient points on a sliding path of the finger so as to make deformation on the finger through the salient points. The fingerprint extraction unit continuously extracts fingerprints of fingers and provides a plurality of fingerprint images according to the fingerprints. The processing unit determines elasticity values according to the deformation returning state of a sunken part generated by the finger passing through the salient points of any two adjacent fingerprint images in the fingerprint images. When the elasticity values conform to the preset elasticity value ranges, the judging unit judges that the finger under judging is a forged finger. The invention performs fingerprint anti-counterfeit by analyzing the deformation state of the finger when sliding the fingerprints extraction unit, thereby improving the correctness of the fingerprint anti-counterfeit.
Description
Technical field
The present invention relates to a kind of fingerprint anti-counterfeit device and method thereof, particularly a kind of flexible difference of true and false finger of utilizing is to carry out the false proof fingerprint anti-counterfeit device of fingerprint and method thereof.
Background technology
For the application of fingerprint bio-identification, for a long time, for distinguishing of prosthetic finger, be an important research always.At present, there is the method for many optical detectings, for example, see through infrared technology to detect hypodermic biological nature (as the speed of blood oxygen concentration or blood flow), and then carry out distinguishing of true and false finger.Yet the method for this class all needs complicated infrared optical board, its cost is higher comparatively speaking; And because this type of complicated optical system is difficult for sensing component size to dwindle, so for requiring compact portable electronic system as mobile phone or mobile computer, be not easy to meet its user's demand.
In recent years, can meet compact fingerprint acquisition apparatus is successfully developed and is applied on above-mentioned portable electronic equipment, its main sensing principle is not to carry out sensing with optical mode, but by being made in the microelectrode matrix of silicon semiconductor, and by the conductive characteristic of human body, measure each electrode and the capacitance of pointing corresponding area; Mode of its corresponding detecting prosthetic finger is also by this ultimate principle, and the measurement by Skin Resistance is to differentiate the difference of corium skin and prosthetic finger material.
, due to the diversity of prosthetic finger material, having at present can the very material appearance of the conductive characteristic of finger of almost Perfect simulation.For example, with the made prosthetic finger of fruit juice gel (gummy finger), its impedance operator, similar in appearance to human body skin, causes sensing apparatus cannot effectively recognize true and false finger.So, thisly by finger skin conductive characteristic, measure to differentiate that the method for true and false finger 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 the problems of the prior art, the object of the present invention is to provide a kind of fingerprint anti-counterfeit device and method thereof, with solve existing fingerprint method for anti-counterfeit because of humidity and the excessive fingerprint that cannot effectively carry out of resistance value overlapping scope of true and false finger false proof.
According to object of the present invention, a kind of fingerprint anti-counterfeit device is proposed, it comprises fingerprint extraction unit and processing unit.Fingerprint extraction unit extracts continuously the fingerprint of finger and provides a plurality of fingerprint images according to fingerprint.Processing unit is determined elasticity number according to the deformed state of any two the adjacent fingerprint images in fingerprint image, and when elasticity number meets default elasticity number scope, processing unit judgement finger is to forge finger.
Wherein, when elasticity number does not meet described default elasticity number scope, processing unit judgement finger is real finger.
Wherein, fingerprint extraction unit is also provided with salient point, and salient point is for manufacture deformation on finger, and the deformation recovery state of the depressed part that produces after salient point of processing unit analysis finger is determined elasticity number.
Wherein, the depressed part that processing unit analysis finger produces after salient point is determined elasticity number with respect to finger without the deformation of crossing salient point.
Wherein, processing unit, identifying after fingerprint image has singular point, launches a regional extent to surrounding centered by singular point, and processing unit is analyzed the deformation of fingerprint image at the regional level again and determined elasticity number.
Object according to the present invention, also proposes a kind of fingerprint method for anti-counterfeit, and it is applicable to fingerprint anti-counterfeit device, and this fingerprint anti-counterfeit device comprises fingerprint extraction unit and processing unit.Fingerprint method for anti-counterfeit comprises: fingerprint extraction unit extracts continuously the fingerprint of finger and provides after a plurality of fingerprint images according to fingerprint, processing unit is determined elasticity number according to the deformed state of any two the adjacent fingerprint images in fingerprint image, when elasticity number meets default elasticity number scope, processing unit judgement finger is to forge finger.
Wherein, when elasticity number does not meet described default elasticity number scope, processing unit judgement finger is real finger.
Wherein, fingerprint extraction unit is also provided with salient point, and salient point is for manufacture deformation on finger, and the deformation recovery state of the depressed part that produces after salient point of processing unit analysis finger is determined elasticity number.
Wherein, the depressed part that processing unit analysis finger produces after salient point is determined elasticity number with respect to finger without the deformation of crossing salient point.
Wherein, processing unit, after identifying the singular point that fingerprint image has, launches a regional extent to surrounding centered by singular point, and processing unit is analyzed the deformation of fingerprint image at the regional level again and made a return journey and determine elasticity number.
As mentioned above, according to the present invention fingerprint anti-counterfeit device and method thereof, it can have one or more following advantages:
(1) this fingerprint anti-counterfeit device and method thereof can be pointed deformed state when slipping over fingerprint extraction unit by analysis to carry out fingerprint false proof, can improve thus the false proof correctness of fingerprint;
(2) this fingerprint anti-counterfeit device and method thereof can be launched deformation in a regional extent to surrounding to carry out fingerprint false proof by analyzing centered by fingerprint image singular point, can effectively promote identification of fingerprint and false proof efficiency thus.
Accompanying drawing explanation
Fig. 1 is the calcspar of fingerprint anti-counterfeit device of the present invention;
Fig. 2 A is the schematic diagram of the first embodiment of fingerprint anti-counterfeit device of the present invention;
Fig. 2 B is the different actual pattern of true and false fingerprint deformation of the first embodiment of fingerprint anti-counterfeit device of the present invention;
Fig. 3 is the schematic diagram of the second embodiment of fingerprint anti-counterfeit device of the present invention;
Fig. 4 is the schematic diagram of the 3rd embodiment of fingerprint anti-counterfeit 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.
Primary clustering symbol description:
1: fingerprint anti-counterfeit device;
10: fingerprint extraction unit;
100: salient point;
11: processing unit;
2: finger;
20: fingerprint;
200,201,202: fingerprint image;
203: prosthetic finger fingerprint image;
204: true finger print image;
21: depressed part;
3: elasticity number;
4: default elasticity number scope;
5: singular point;
6: regional extent; And
S10～S40: step.
Embodiment
Consult Fig. 1, Fig. 1 is the calcspar of fingerprint anti-counterfeit device of the present invention.As shown in Figure 1, fingerprint anti-counterfeit 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 provides a plurality of fingerprint images 200,201,202 according to fingerprint 20.Processing unit 11 determines elasticity number 3 according to the deformed state of any two the adjacent fingerprint images in fingerprint image 200,201,202, and when elasticity number 3 meets default elasticity number scope 4, processing unit 11 judgement fingers 2 are to forge finger.In addition, when elasticity number 3 does not meet default elasticity number scope 4, processing unit 11 judgement fingers 2 are real finger.
Consult Fig. 2 A, Fig. 2 A is the schematic diagram of the first embodiment of fingerprint anti-counterfeit device of the present invention.As shown in Figure 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 in the mode of sliding.Fingerprint extraction unit 10 is also provided with salient point 100, and salient point 100, for manufacture deformation on finger 2, makes processing unit more easily analyze the deformed state of finger 2.Fig. 2 A is only schematic diagram, when finger 2 depressed parts that produce after salient point 100 21 in drawing just to stay white mode to represent, and wherein also in the mode of dotted line, represent the kenel that the fingerprint distortion of depressed part 21 is replied gradually.When user by finger 2 by being pressed on fingerprint extraction unit 10 and while starting to slide, processing unit 11 analyze immediately finger 2 depressed parts that produce after salient point 100 21 deformation recovery state determine elasticity number 3; Processing unit 11 also can be analyzed finger 2 depressed parts that produce after salient point 100 21 with respect to pointing 2 without the part of crossing salient point 100, according to deformed state between the two, determines elasticity number 3.
Consult Fig. 2 B, Fig. 2 B is the different actual pattern of true and false fingerprint deformation of the first embodiment of fingerprint anti-counterfeit device of the present invention.As shown in Fig. 2 B left, it is prosthetic finger fingerprint image 203, and because the elasticity number of prosthetic finger is more single, so the reply of its deformation (the reply situation of depressed part 21) is also very even; Relative, 204 of the true finger print images that Fig. 2 B is right-hand, because the elasticity number of real finger is different, therefore can find that true finger print image 204 is also inhomogeneous in the recoil state after salient point everywhere.Therefore, the present invention can, according to the difference of this kind of strain mode and deformation quantity, judge whether the fingerprint image being extracted by fingerprint extraction unit 10 is to extract from real finger.In addition, when fingerprint register, except the storage of characteristic information, also stored the information of anti-prosthetic finger, the information of this anti-prosthetic finger (being the elasticity number of various possible prosthetic finger materials) has formed default scope simultaneously.Because the material behavior of prosthetic finger (gummy finger) is comparatively single, so the variation of its deformation quantity will fall in a specific scope; Contrary, the deformation of real finger varies with each individual, and the variation of its deformation quantity cannot be defined with specific scope.
Consult Fig. 3, Fig. 3 is the schematic diagram of the second embodiment of fingerprint anti-counterfeit device of the present invention.As shown in Figure 3, the present embodiment is from the first the different of embodiment maximum, and fingerprint extraction unit 10 is not provided with salient point.Therefore, the present embodiment is according to the variation of analyzing the deformation quantity on fingerprint image, the given different elasticity number of finger 2 by being pressed on fingerprint extraction unit 10, and the fingerprint image of every two (or more than) just calculates elasticity number one time.When processing unit 11 finds that it (is the default elasticity number scope 4 of Fig. 1 that the corresponding elasticity number of fingerprint image of wantonly two (or more than) adjacent (or continuous) falls in a specific scope, or as the information of the prosthetic finger that last embodiment pre-entered) time, just judging by the finger 2 being pressed on fingerprint extraction unit 10, processing unit 11 points as forging; Contrary, when processing unit 11 finds that elasticity numbers do not fall in a specific scope (being the default elasticity number scope 4 of Fig. 1), processing unit 11 just judges that by the finger 2 being pressed on fingerprint extraction unit 10 be real finger.Now, processing unit 11 judge by be pressed in finger 2 on fingerprint extraction unit 10 as real finger after, also can utilize further other mechanism to be confirmed whether as real finger, such as with temperature or electric conductivity etc.
In addition, anti-prosthetic finger method of the present invention is to convert how much physical messages of three dimensions (being deformation) of finger lines 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 by calculate the deformation quantity (having represented the vertical space information of fingerprint) of the fingerprint image sample in fixed-area, and the mode of choosing of fixed-area is also of the present invention one large feature, because the fingerprint line density in all directions and region is different, if therefore do not select specific region and fixed-area, resulting result has very large difference.
Consult Fig. 4, Fig. 4 is the schematic diagram of the 3rd embodiment of fingerprint anti-counterfeit device of the present invention.As shown in Figure 4, different being of maximum of the present embodiment and the first two embodiment, processing unit 11 has after singular point 5 identifying fingerprint image 200, centered by singular point 5, to surrounding, launching a regional extent 6(is specific region), processing unit 11 analyze again fingerprint image 200 at the regional level the deformation in 6 determine elasticity number 3.Wherein, the profile of this scope can be circle, ellipse or polygon, is square in the present embodiment.Because fingerprint extraction unit 10 takes the fingerprint 20 and fingerprint image 200 is provided in the mode of extracting continuously, so as long as processing unit 11 does not find to have singular point 5 in fingerprint image 200, do not calculate elasticity number and judge the true and false of finger 2; Only have after processing unit 11 finds to have comprised singular point 5 in fingerprint images 200, just according to singular point 5 spreading area scopes 6, and calculating elastic value within 6 at the regional level, and then the true and false of judgement finger 2, so the present embodiment can be effectively and significantly promote the false proof efficiency of fingerprint and save the resource of system.
As for choosing of singular point, be summarized as follows: after obtaining original fingerprint image, first pass through the normalization (normalization) of fingerprint image, fingerprint image value is redistributed as between 0～255, it at the present embodiment, is the gray-scale distribution of 8 bits, by normalized fingerprint, through putty(, be the mean value that utilizes 3 * 3 nine grids computed image again) process after, last according to the regular fingerprint image after this putty, utilize 3 * 3 nine grids to calculate the average gradient value of these nine grids, thereby obtain average angle value, differentiation (when adjacent differential seat angle is greater than predetermined angle) by vectorial angle figure calculates singular point (singular point) again.
Although aforementioned in the process of explanation fingerprint anti-counterfeit device of the present invention, the concept of fingerprint method for anti-counterfeit of the present invention has been described simultaneously, for the purpose of asking and knowing, below still provide in addition the detailed description of process flow diagram.
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 fingerprint anti-counterfeit device, and this fingerprint anti-counterfeit device comprises fingerprint extraction unit and processing unit.As shown in Figure 5, fingerprint method for anti-counterfeit comprises the following steps:
(S10) fingerprint extraction unit extracts continuously the fingerprint of finger and provides a plurality of fingerprint images according to fingerprint;
(S20) processing unit is determined elasticity number according to the deformed state of any two the adjacent fingerprint images in fingerprint image, and judges whether elasticity number meets default elasticity number scope;
(S30), when elasticity number meets default elasticity number scope, processing unit judgement finger is to forge finger; And
(S40), when elasticity number does not meet default elasticity number scope, processing unit judgement finger is 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, in above-mentioned step (S10), also can comprise the following steps: afterwards
(S11) processing unit has after singular point identifying fingerprint image, centered by singular point, to surrounding, launches a regional extent; And
(S12) processing unit according to any two the adjacent fingerprint images in the fingerprint image in this regional extent the deformed state in this regional extent determine elasticity number, and judge whether elasticity number meets default elasticity number scope.
Then execution step (S30) or (S40) after step (S12).
The details of fingerprint method for anti-counterfeit of the present invention has been described in detail when above stated specification fingerprint anti-counterfeit device of the present invention, at this, just repeats no more.
In sum, fingerprint anti-counterfeit device of the present invention and method thereof can be pointed deformed state when slipping over fingerprint extraction module by analysis to carry out fingerprint false proof, effectively improve the false proof correctness of fingerprint; And the present invention also can launch deformation in a regional extent to surrounding to carry out fingerprint false proof by analyzing centered by the singular point of fingerprint image, and significantly promote fingerprint recognition and false proof efficiency.
The foregoing is only illustrative, but not be restricted.Anyly do not depart from equivalent modifications or the change that spirit of the present invention and category carry out it, all should be included in the scope of claim.
Claims (8)
1. a fingerprint anti-counterfeit device, comprising:
Fingerprint extraction unit is provided with salient point on the sliding path of finger, and to manufacture deformation by described salient point on finger, described fingerprint extraction unit extracts the fingerprint of finger continuously, and provides a plurality of fingerprint images according to described fingerprint; And
Processing unit, the deformation recovery state of the depressed part producing through described salient point according to the described finger of any two the adjacent fingerprint images in described a plurality of fingerprint images is determined elasticity number, when described elasticity number meets default elasticity number scope, described processing unit judges that described finger is to forge finger.
2. fingerprint anti-counterfeit device according to claim 1, wherein, when described elasticity number does not meet described default elasticity number scope, described processing unit judges that described finger is real finger.
3. fingerprint anti-counterfeit device according to claim 1, wherein, described processing unit system analyzes the depressed part that described finger produces after described salient point and through the deformation of described salient point, does not determine described elasticity number with respect to described finger.
4. fingerprint anti-counterfeit device according to claim 1, wherein, described processing unit is identifying after described fingerprint image has singular point, centered by described singular point, to surrounding, launch a regional extent, and described processing unit is analyzed the deformation of described fingerprint image in described regional extent and is determined described elasticity number.
5. a fingerprint method for anti-counterfeit, described fingerprint method for anti-counterfeit is applicable to fingerprint anti-counterfeit device, and described fingerprint anti-counterfeit device comprises fingerprint extraction unit and processing unit, and described fingerprint method for anti-counterfeit comprises the following steps:
Fingerprint extraction unit is provided with salient point on the sliding path of finger, by described salient point, on finger, manufactures deformation, to extract continuously the fingerprint of finger, and provides a plurality of fingerprint images according to described fingerprint; And
The deformation recovery state of the depressed part that processing unit produces after described salient point according to the described finger of any two the adjacent fingerprint images in described a plurality of fingerprint images is determined elasticity number, when described elasticity number meets default elasticity number scope, processing unit judges that described finger is to forge finger.
6. fingerprint method for anti-counterfeit according to claim 5, wherein, when described elasticity number does not meet described default elasticity number scope, processing unit judges that described finger is real finger.
7. fingerprint method for anti-counterfeit according to claim 5, wherein, processing unit is analyzed the depressed part that described finger produces after described salient point and through the deformation of described salient point, is not determined described elasticity number with respect to described finger.
8. fingerprint method for anti-counterfeit according to claim 5, wherein, processing unit is identifying after described fingerprint image has singular point, centered by described singular point, to surrounding, launch a regional extent, processing unit is analyzed the deformation of described fingerprint image in this regional extent and is determined described 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 true CN102467671B (en) | 2014-10-08 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106104574B (en) * | 2016-02-25 | 2018-06-12 | 深圳市汇顶科技股份有限公司 | Fingerprint identification method, device and terminal |
| US10599911B2 (en) * | 2016-07-20 | 2020-03-24 | Cypress Semiconductor Corporation | Anti-spoofing protection for fingerprint controllers |
| US10460144B2 (en) | 2016-07-20 | 2019-10-29 | Cypress Semiconductor Corporation | Non-finger object rejection for fingerprint sensors |
| TW202226015A (en) * | 2020-12-28 | 2022-07-01 | 神盾股份有限公司 | Method, device, and non-transitory computer-readable storage medium for fingerprint authentication |
| CN114359978A (en) * | 2021-03-03 | 2022-04-15 | 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 |
| CN101226589A (en) * | 2007-01-18 | 2008-07-23 | 中国科学院自动化研究所 | Method for detecting living body fingerprint based on thin plate spline deformation model |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1332297C (en) * | 2004-06-09 | 2007-08-15 | 夏普株式会社 | Protection hood of sensor surface capable of conducting fixed point operation |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN101226589A (en) * | 2007-01-18 | 2008-07-23 | 中国科学院自动化研究所 | Method for detecting living body fingerprint based on thin plate spline deformation model |
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