CN102467671B - Fingerprint anti-counterfeiting device and method thereof - Google Patents
Fingerprint anti-counterfeiting device and method thereof Download PDFInfo
- Publication number
- 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
- Authority
- CN
- China
- Prior art keywords
- fingerprint
- finger
- processing unit
- deformation
- elasticity number
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000012545 processing Methods 0.000 claims abstract description 52
- 238000000605 extraction Methods 0.000 claims abstract description 28
- 238000011084 recovery Methods 0.000 claims abstract description 9
- 239000000284 extract Substances 0.000 claims abstract description 7
- 230000000994 depressogenic effect Effects 0.000 claims 4
- 238000004519 manufacturing process Methods 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 8
- 239000000463 material Substances 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000017531 blood circulation Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000003292 glue Substances 0.000 description 1
- 238000003703 image analysis method Methods 0.000 description 1
- 235000015110 jellies Nutrition 0.000 description 1
- 239000008274 jelly Substances 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
- 206010033675 panniculitis Diseases 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000010187 selection method Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- 210000004304 subcutaneous tissue Anatomy 0.000 description 1
Landscapes
- Collating Specific Patterns (AREA)
- Image Input (AREA)
Abstract
Description
技术领域technical field
本发明涉及一种指纹防伪装置及其方法，特别涉及一种利用真假手指弹性的不同以进行指纹防伪的指纹防伪装置及其方法。The invention relates to a fingerprint anti-counterfeiting device and its method, in particular to a fingerprint anti-counterfeiting device and its method which utilizes the difference in the elasticity of real and fake fingers for fingerprint anti-counterfeiting.
背景技术Background technique
对于指纹生物识别应用，长久以来，对于假手指的辨别一直是一个重要的研究。目前，有许多光学侦测的方法，例如透过红外线技术以侦测皮下组织的生物特性（如血氧浓度或者是血流的速度），进而进行真假手指的辨别。然而，这一类的方法都需要复杂的红外线光学机台，相对来说其成本较高；且由于此类复杂的光学系统不易将感测组件尺寸缩小，所以对于要求轻薄短小的携带式的电子系统如手机或笔记型计算机来说，不容易满足其使用者的需求。For fingerprint biometric applications, the identification of fake fingers has been an important research for a long time. At present, there are many optical detection methods, such as infrared technology to detect biological characteristics of subcutaneous tissue (such as blood oxygen concentration or blood flow speed), and then distinguish between real and fake fingers. However, this type of method requires a complex infrared optical machine, and its cost is relatively high; For systems such as cell phones or notebook computers, it is not easy to meet the needs of their users.
近年来，能满足轻薄短小的指纹感测装置被成功地开发及应用在上述携带式电子装置上，其主要感测原理不是以光学方式来感测，而是通过制作于硅半导体的微小电极矩阵，且通过人体的导电特性，来测量每一电极与手指对应面积的电容值；其相应的侦测假手指的方式也是通过这种基本原理，通过皮肤阻抗的测量以鉴别真皮肤及假手指材料的差别。In recent years, thin, light and small fingerprint sensing devices have been successfully developed and applied to the above-mentioned portable electronic devices. The main sensing principle is not optical sensing, but a tiny electrode matrix made of silicon semiconductor , and through the conductive properties of the human body, the capacitance value of each electrode and the corresponding area of the finger is measured; the corresponding method of detecting fake fingers is also based on this basic principle, and the measurement of skin impedance is used to identify real skin and fake finger materials difference.
可是，由于假手指材料的多样性，目前已有可以近乎完美地模拟真手指的导电特性的材料出现。例如，以果冻胶所制成的假手指（gummy finger），其阻抗特性相似于人体皮肤，导致感测装置无法有效的辨认出真假手指。所以，这种通过手指皮肤导电特性测量以鉴别真假手指的方法是有问题的。However, due to the diversity of fake finger materials, materials that can almost perfectly simulate the conductive properties of real fingers have appeared. For example, the impedance of a gummy finger made of jelly glue is similar to that of human skin, so that the sensing device cannot effectively identify the real and fake fingers. Therefore, this method of identifying real and fake fingers by measuring the conductivity of the finger skin is problematic.
为此，本发明将采用另一种三维空间影像分析方式，以解决上述问题。Therefore, the present invention will adopt another three-dimensional space image analysis method to solve the above-mentioned problems.
发明内容Contents of the invention
有鉴于现有技术中的问题，本发明的目的在于提供一种指纹防伪装置及其方法，以解决现有的指纹防伪方法因真假手指的湿度及电阻值重迭范围过大而无法有效进行指纹防伪。In view of the problems in the prior art, the purpose of the present invention is to provide a fingerprint anti-counterfeiting device and its method, to solve the problem that the existing fingerprint anti-counterfeiting method cannot be effectively implemented due to the large overlapping range of humidity and resistance values of real and fake fingers. Fingerprint anti-counterfeiting.
根据本发明的目的，提出一种指纹防伪装置，其包括指纹提取单元以及处理单元。指纹提取单元连续地提取手指的指纹并根据指纹提供多个指纹图像。处理单元根据指纹图像中的任意两个相邻指纹图像的形变状态来确定弹性值，当弹性值符合预设弹性值范围时，处理单元判断手指是伪造手指。According to the purpose of the present invention, a fingerprint anti-counterfeiting device is proposed, which includes a fingerprint extraction unit and a processing unit. The fingerprint extracting unit continuously extracts fingerprints of fingers and provides a plurality of fingerprint images according to the fingerprints. The processing unit determines the elasticity value according to the deformation state of any two adjacent fingerprint images in the fingerprint image, and when the elasticity value meets the preset elasticity value range, the processing unit judges that the finger is a fake finger.
其中，当弹性值不符合所述预设弹性值范围时，处理单元判断手指是真实手指。Wherein, when the elasticity value does not meet the preset elasticity value range, the processing unit judges that the finger is a real finger.
其中，指纹提取单元还设置有凸点，凸点用于在手指上制造形变，并且处理单元分析手指经过凸点后所产生的凹陷部的形变回复状态来确定弹性值。Wherein, the fingerprint extraction unit is also provided with convex points, which are used to create deformation on the finger, and the processing unit analyzes the deformation recovery state of the concave part generated after the finger passes through the convex points to determine the elasticity value.
其中，处理单元分析手指经过凸点后所产生的凹陷部相对于手指未经过凸点的形变来确定弹性值。Wherein, the processing unit determines the elastic value by analyzing the deformation of the concave part generated after the finger passes the convex point relative to the finger not passing the convex point.
其中，处理单元在识别出指纹图像具有奇异点之后，以奇异点为中心向四周展开一区域范围，处理单元再分析指纹图像在区域范围内的形变来确定弹性值。Wherein, after the processing unit recognizes that the fingerprint image has a singular point, it expands a region around the singular point, and then analyzes the deformation of the fingerprint image in the region to determine the elasticity value.
根据本发明之目的，还提出一种指纹防伪方法，其适用于指纹防伪装置，该指纹防伪装置包括指纹提取单元及处理单元。指纹防伪方法包括：指纹提取单元连续地提取手指的指纹并根据指纹提供多个指纹图像后，处理单元根据指纹图像中的任意两个相邻指纹图像的形变状态来确定弹性值，当弹性值符合预设弹性值范围时，处理单元判断手指是伪造手指。According to the purpose of the present invention, a fingerprint anti-counterfeiting method is also proposed, which is suitable for a fingerprint anti-counterfeiting device, and the fingerprint anti-counterfeiting device includes a fingerprint extraction unit and a processing unit. The fingerprint anti-counterfeiting method comprises: after the fingerprint extracting unit continuously extracts the fingerprint of the finger and provides a plurality of fingerprint images according to the fingerprint, the processing unit determines the elastic value according to the deformation state of any two adjacent fingerprint images in the fingerprint image, when the elastic value meets When the elastic value range is preset, the processing unit judges that the finger is a fake finger.
其中，当弹性值不符合所述预设弹性值范围时，处理单元判断手指是真实手指。Wherein, when the elasticity value does not meet the preset elasticity value range, the processing unit judges that the finger is a real finger.
其中，指纹提取单元还设置有凸点，凸点用于在手指上制造形变，并且处理单元分析手指经过凸点后所产生的凹陷部的形变回复状态来确定弹性值。Wherein, the fingerprint extraction unit is also provided with convex points, which are used to create deformation on the finger, and the processing unit analyzes the deformation recovery state of the concave part generated after the finger passes through the convex points to determine the elasticity value.
其中，处理单元分析手指经过凸点后所产生的凹陷部相对于手指未经过凸点的形变来确定弹性值。Wherein, the processing unit determines the elastic value by analyzing the deformation of the concave part generated after the finger passes the convex point relative to the finger not passing the convex point.
其中，处理单元在识别出指纹图像具有的奇异点之后，以奇异点为中心向四周展开一区域范围，处理单元再分析指纹图像在区域范围内的形变来去定弹性值。Wherein, after the processing unit recognizes the singular point of the fingerprint image, it expands a region around the singular point, and then analyzes the deformation of the fingerprint image in the region to determine the elastic value.
如上所述，根据本发明之的指纹防伪装置及其方法，其可具有一个或多个下述优点：As mentioned above, according to the fingerprint anti-counterfeiting device and method thereof of the present invention, it may have one or more of the following advantages:
(1)该指纹防伪装置及其方法可通过分析手指在滑过指纹提取单元时的形变状态来进行指纹防伪，由此可提高指纹防伪的正确性；(1) The fingerprint anti-counterfeiting device and method thereof can carry out fingerprint anti-counterfeiting by analyzing the deformation state of the finger when sliding over the fingerprint extraction unit, thereby improving the correctness of fingerprint anti-counterfeiting;
(2)该指纹防伪装置及其方法可通过分析以指纹图像奇异点为中心向四周展开一区域范围内的形变来进行指纹防伪，由此可有效提升指纹辨识及防伪的效率。(2) The fingerprint anti-counterfeiting device and its method can perform fingerprint anti-counterfeiting by analyzing the deformation of a region around the singular point of the fingerprint image, which can effectively improve the efficiency of fingerprint identification and anti-counterfeiting.
附图说明Description of drawings
图1是本发明的指纹防伪装置的方块图；Fig. 1 is the block diagram of fingerprint anti-counterfeit device of the present invention;
图2A是本发明的指纹防伪装置的第一实施例的示意图；FIG. 2A is a schematic diagram of the first embodiment of the fingerprint anti-counterfeiting device of the present invention;
图2B是本发明的指纹防伪装置的第一实施例的真假指纹形变不同的实际图样；Fig. 2B is the actual pattern of different deformations of true and false fingerprints of the first embodiment of the fingerprint anti-counterfeiting device of the present invention;
图3是本发明的指纹防伪装置的第二实施例的示意图；Fig. 3 is the schematic diagram of the second embodiment of the fingerprint anti-counterfeiting device of the present invention;
图4是本发明的指纹防伪装置的第三实施例的示意图；Fig. 4 is the schematic diagram of the third embodiment of the fingerprint anti-counterfeiting device of the present invention;
图5是本发明的指纹防伪方法的流程图；以及Fig. 5 is the flowchart of fingerprint anti-counterfeit method of the present invention; And
图6是本发明的指纹防伪方法的另一流程图。Fig. 6 is another flow chart of the fingerprint anti-counterfeiting method of the present invention.
主要组件符号说明：Description of main component symbols:
1：指纹防伪装置；1: Fingerprint anti-counterfeiting device;
10：指纹提取单元；10: fingerprint extraction unit;
100：凸点；100: bump;
11：处理单元；11: processing unit;
2：手指；2: finger;
20：指纹；20: Fingerprint;
200、201、202：指纹图像；200, 201, 202: fingerprint image;
203：假手指指纹图像；203: fake finger print image;
204：真手指指纹图像；204: real finger print image;
21：凹陷部；21: depression;
3：弹性值；3: elastic value;
4：预设弹性值范围；4: Default elastic value range;
5：奇异点；5: Singularity;
6：区域范围；以及6: Regional scope; and
S10～S40：步骤。S10-S40: steps.
具体实施方式Detailed ways
参阅图1，图1是本发明的指纹防伪装置的方块图。如图1所示，本发明的指纹防伪装置1包括指纹提取单元10以及处理单元11。指纹提取单元10连续地提取手指2的指纹20，并根据指纹20提供多个指纹图像200、201、202。处理单元11根据指纹图像200、201、202中的任意两个相邻指纹图像的形变状态而决定弹性值3，当弹性值3符合预设弹性值范围4时，处理单元11判断手指2是伪造手指。另外，当弹性值3不符合预设弹性值范围4时，处理单元11判断手指2是真实手指。Referring to Fig. 1, Fig. 1 is a block diagram of the fingerprint anti-counterfeiting device of the present invention. As shown in FIG. 1 , the fingerprint anti-counterfeiting device 1 of the present invention includes a fingerprint extraction unit 10 and a processing unit 11 . The fingerprint extraction unit 10 continuously extracts the fingerprint 20 of the finger 2 and provides a plurality of fingerprint images 200 , 201 , 202 according to the fingerprint 20 . The processing unit 11 determines the elasticity value 3 according to the deformation state of any two adjacent fingerprint images in the fingerprint images 200, 201, 202. When the elasticity value 3 meets the preset elasticity value range 4, the processing unit 11 judges that the finger 2 is forged. finger. In addition, when the elasticity value 3 does not meet the preset elasticity value range 4, the processing unit 11 determines that the finger 2 is a real finger.
参阅图2A，图2A是本发明的指纹防伪装置的第一实施例的示意图。如图2A所示，指纹提取单元10是长条形的传感器，待进行身份认证的使用者的手指2以滑动的方式滑过指纹提取单元10。指纹提取单元10还设置有凸点100，凸点100用于在手指2上制造形变，使得处理单元更容易分析手指2的形变状态。图2A仅为示意图，当手指2经过凸点100后所产生的凹陷部21在制图上便以留白的方式来表示，且其中还以虚线的方式来表示凹陷部21的指纹变形渐渐回复的型态。当使用者将手指2按压在指纹提取单元10上并开始滑动时，处理单元11随即分析手指2经过凸点100后所产生的凹陷部21的形变回复状态来确定弹性值3；处理单元11也可分析手指2经过凸点100后所产生的凹陷部21相对于手指2未经过凸点100的部分，根据两者之间的形变状态来确定弹性值3。Referring to FIG. 2A, FIG. 2A is a schematic view of the first embodiment of the fingerprint anti-counterfeiting device of the present invention. As shown in FIG. 2A , the fingerprint extraction unit 10 is a strip-shaped sensor, and the finger 2 of the user to be authenticated slides over the fingerprint extraction unit 10 in a sliding manner. The fingerprint extraction unit 10 is also provided with bumps 100, which are used to create deformation on the finger 2, so that the processing unit can analyze the deformation state of the finger 2 more easily. Fig. 2A is only a schematic diagram. When the finger 2 passes through the convex point 100, the concave portion 21 generated after the finger 2 passes through the convex point 100 is shown in a blank manner on the drawing, and the fingerprint deformation of the concave portion 21 is gradually recovered in the form of a dotted line. type. When the user presses the finger 2 on the fingerprint extraction unit 10 and starts to slide, the processing unit 11 analyzes the deformation recovery state of the concave portion 21 generated after the finger 2 passes through the convex point 100 to determine the elastic value 3; the processing unit 11 also The elastic value 3 can be determined according to the deformation state between the concave portion 21 generated after the finger 2 passes the convex point 100 and the part of the finger 2 that does not pass the convex point 100 can be analyzed.
参阅图2B，图2B是本发明的指纹防伪装置的第一实施例的真假指纹形变不同的实际图样。如图2B左方所示，其为假手指指纹图像203，由于假手指的弹性值比较单一，因此其形变的回复（凹陷部21的回复状况）也很均匀；相对的，图2B右方的真手指指纹图像204则因为真实手指的弹性值处处不同，因此可以发现真手指指纹图像204在经过凸点后的回复状态也是不均匀的。因此，本发明即可根据此种形变模式及形变量的不同，来判断由指纹提取单元10所提取的指纹图像是否是从真实手指所提取到的。另外，在指纹注册时，除了特征信息的存储外，也同时存储了防假手指的信息，该防假手指的信息（即各种有可能的假手指材料的弹性值）即构成了预设的范围。由于假手指（gummy finger）的材料特性较为单一，因此其形变量的变化将会落入一个特定的范围内；相反的，真实手指的形变则因人而异，其形变量的变化则无法以特定的范围加以界定。Referring to FIG. 2B , FIG. 2B is an actual pattern of different deformations of real and fake fingerprints of the first embodiment of the fingerprint anti-counterfeiting device of the present invention. As shown on the left side of Figure 2B, it is a fake finger fingerprint image 203. Since the elasticity value of the fake finger is relatively single, the recovery of its deformation (the recovery status of the concave portion 21) is also very uniform; The real finger fingerprint image 204 has different elastic values everywhere, so it can be found that the recovery state of the real finger fingerprint image 204 after passing through the bumps is also uneven. Therefore, the present invention can judge whether the fingerprint image extracted by the fingerprint extraction unit 10 is extracted from a real finger according to the difference in the deformation mode and deformation amount. In addition, during fingerprint registration, in addition to the storage of characteristic information, the information of anti-fake fingers is also stored at the same time. scope. Since the material properties of the gummy finger are relatively simple, the change of its deformation will fall within a specific range; on the contrary, the deformation of a real finger varies from person to person, and the change of its deformation cannot be determined by A certain range is defined.
参阅图3，图3是本发明的指纹防伪装置的第二实施例的示意图。如图3所示，本实施例与第一实施例最大的不同在于，指纹提取单元10并未设置有凸点。因此，本实施例根据分析指纹图像上的形变量的变化，给定按压在指纹提取单元10上的手指2不同的弹性值，且每两张（或以上）的指纹图像便计算一次弹性值。当处理单元11发现任二（或以上）相邻（或连续）的指纹图像所对应的弹性值落入一个特定的范围内（即图1的预设弹性值范围4，或如前一实施例所预先输入的假手指的信息）时，处理单元11便判定按压在指纹提取单元10上的手指2为伪造手指；相反的，当处理单元11发现弹性值未落入一个特定的范围内（即图1的预设弹性值范围4）时，处理单元11便判定按压在指纹提取单元10上的手指2为真实手指。此时，处理单元11在判定按压在指纹提取单元10上的手指2为真实手指后，也可进一步地利用其它机制确认是否为真实手指，例如以温度或导电性等。Referring to FIG. 3 , FIG. 3 is a schematic diagram of a second embodiment of the fingerprint anti-counterfeiting device of the present invention. As shown in FIG. 3 , the biggest difference between this embodiment and the first embodiment is that the fingerprint extraction unit 10 is not provided with bumps. Therefore, in this embodiment, different elasticity values of the finger 2 pressed on the fingerprint extraction unit 10 are given according to the analysis of the deformation variation on the fingerprint image, and the elasticity value is calculated every two (or more) fingerprint images. When the processing unit 11 finds that the elasticity values corresponding to any two (or more) adjacent (or continuous) fingerprint images fall within a specific range (that is, the preset elasticity value range 4 in Figure 1, or as in the previous embodiment information of the fake finger input in advance), the processing unit 11 will determine that the finger 2 pressed on the fingerprint extraction unit 10 is a fake finger; on the contrary, when the processing unit 11 finds that the elasticity value does not fall within a specific range (ie When the preset elastic value range 4) in FIG. 1 , the processing unit 11 determines that the finger 2 pressed on the fingerprint extraction unit 10 is a real finger. At this time, after the processing unit 11 determines that the finger 2 pressing on the fingerprint extraction unit 10 is a real finger, it may further use other mechanisms to confirm whether it is a real finger, such as temperature or conductivity.
另外，本发明所采用的防假手指方法是将手指纹路的三维空间几何物理信息（即形变）转换成可以计量及计算的电压信息。例如，在指纹注册时，除了特征信息的存储外，也同时存储了防假手指的信息，该防假手指的信息是通过计算在固定面积内所采样的指纹图像的形变量（代表了指纹的垂直空间信息）而被获得，而固定面积的选取方式也是本发明的一大特征，由于在各方向及区域内的指纹线密度不同，因此如果不选定特定区域及固定面积，则所得到的结果会有很大的差异。In addition, the anti-fake finger method adopted in the present invention is to convert the three-dimensional geometric and physical information (ie deformation) of the fingerprint path into voltage information that can be measured and calculated. For example, during fingerprint registration, in addition to the storage of characteristic information, the information of anti-fake fingers is also stored at the same time. The information of anti-fake fingers is calculated by calculating the deformation of Vertical space information) is obtained, and the selection method of the fixed area is also a major feature of the present invention. Since the fingerprint line density in each direction and area is different, if the specific area and the fixed area are not selected, the obtained Results can vary widely.
参阅图4，图4是本发明的指纹防伪装置的第三实施例的示意图。如图4所示，本实施例与前两个实施例的最大不同在于，处理单元11在识别出指纹图像200具有奇异点5后，以奇异点5为中心向四周展开一区域范围6（即特定区域），处理单元11再分析指纹图像200在区域范围6内的形变来确定弹性值3。其中，该范围的外形可为圆形、椭圆形或多边形，在本实施例中则为正方形。由于指纹提取单元10以连续提取的方式提取指纹20并提供指纹图像200，所以只要处理单元11未发现指纹图像200中具有奇异点5，则不计算弹性值而判断手指2的真伪；只有当处理单元11发现指纹图像200中包含了奇异点5之后，才根据奇异点5展开区域范围6，并在区域范围6之内计算弹性值，进而判断手指2的真伪，因此本实施例可有效且大幅提升指纹防伪的效率并节省系统的资源。Referring to FIG. 4, FIG. 4 is a schematic diagram of a third embodiment of the fingerprint anti-counterfeiting device of the present invention. As shown in Figure 4, the biggest difference between this embodiment and the previous two embodiments is that after the processing unit 11 recognizes that the fingerprint image 200 has a singular point 5, it expands a region 6 around the singular point 5 (i.e. specific area), the processing unit 11 then analyzes the deformation of the fingerprint image 200 within the area range 6 to determine the elasticity value 3 . Wherein, the shape of the range can be a circle, an ellipse or a polygon, and in this embodiment it is a square. Since the fingerprint extraction unit 10 extracts the fingerprint 20 and provides the fingerprint image 200 in a continuous extraction mode, as long as the processing unit 11 does not find that there is a singular point 5 in the fingerprint image 200, the elasticity value is not calculated and the authenticity of the finger 2 is judged; only when After the processing unit 11 finds that the fingerprint image 200 contains the singular point 5, it expands the region 6 according to the singular point 5, and calculates the elastic value within the region 6, and then judges the authenticity of the finger 2, so this embodiment can be effective Moreover, the efficiency of fingerprint anti-counterfeiting is greatly improved and system resources are saved.
至于奇异点的选取，则简述如下：在得到原始的指纹图像后，先经过指纹图像的正规化（normalization），将指纹图像值重新分配为介于0～255，在本实施例为8比特的灰阶分布，由正规化的指纹再经过putty（为利用3×3九宫格计算图像的平均值）处理后，最后根据该putty后的正规指纹图像，利用3×3九宫格计算出该九宫格的平均梯度值，从而得到平均角度值，再由向量角度图的差异化（相邻角度差大于预设角度时）来计算出奇异点（singular point）。As for the selection of singular points, it is briefly described as follows: After obtaining the original fingerprint image, the fingerprint image is first normalized, and the value of the fingerprint image is reassigned to be between 0 and 255, which is 8 bits in this embodiment. After the normalized fingerprint is processed by putty (to calculate the average value of the image by using 3×3 nine-square grid), finally, according to the normalized fingerprint image after the putty, the average value of the nine-square grid is calculated by using 3×3 nine-square grid Gradient value, so as to obtain the average angle value, and then calculate the singular point (singular point) by the difference of the vector angle map (when the adjacent angle difference is greater than the preset angle).
尽管前述在说明本发明的指纹防伪装置的过程中，已同时说明了本发明的指纹防伪方法的概念，但为求清楚起见，以下仍另外给出流程图的详细说明。Although the concept of the fingerprint anti-counterfeiting method of the present invention has been described in the process of describing the fingerprint anti-counterfeiting device of the present invention, for the sake of clarity, a detailed description of the flow chart is provided below.
参阅图5，图5是本发明的指纹防伪方法的流程图。本发明的指纹防伪方法适用于指纹防伪装置，该指纹防伪装置包括指纹提取单元及处理单元。如图5所示，指纹防伪方法包括下列步骤：Referring to Fig. 5, Fig. 5 is a flow chart of the fingerprint anti-counterfeiting method of the present invention. The fingerprint anti-counterfeit method of the invention is suitable for a fingerprint anti-counterfeit device, and the fingerprint anti-counterfeit device includes a fingerprint extraction unit and a processing unit. As shown in Figure 5, the fingerprint anti-counterfeiting method comprises the following steps:
（S10）指纹提取单元连续地提取手指的指纹并根据指纹提供多个指纹图像；(S10) The fingerprint extracting unit continuously extracts fingerprints of fingers and provides multiple fingerprint images according to the fingerprints;
（S20）处理单元根据指纹图像中的任意两个相邻指纹图像的形变状态来确定弹性值，并判断弹性值是否符合预设弹性值范围；(S20) The processing unit determines the elasticity value according to the deformation state of any two adjacent fingerprint images in the fingerprint image, and judges whether the elasticity value conforms to the preset elasticity value range;
（S30）当弹性值符合预设弹性值范围时，处理单元判断手指是伪造手指；以及(S30) When the elasticity value meets the preset elasticity value range, the processing unit judges that the finger is a fake finger; and
（S40）当弹性值不符合预设弹性值范围时，处理单元判断手指是真实手指。(S40) When the elasticity value does not meet the preset elasticity value range, the processing unit determines that the finger is a real finger.
参阅图6，图6是本发明的指纹防伪方法的另一流程图。在一些较佳的实施例中，在上述的步骤（S10）之后还可包括下列步骤：Referring to FIG. 6, FIG. 6 is another flow chart of the fingerprint anti-counterfeiting method of the present invention. In some preferred embodiments, the following steps may also be included after the above step (S10):
（S11）处理单元在识别出指纹图像具有奇异点后，以奇异点为中心向四周展开一区域范围；以及(S11) After the processing unit recognizes that the fingerprint image has a singular point, it expands a region around the singular point; and
（S12）处理单元根据该区域范围内的指纹图像中的任意两个相邻指纹图像在该区域范围内的形变状态来确定弹性值，并判断弹性值是否符合预设弹性值范围。(S12) The processing unit determines the elasticity value according to the deformation state of any two adjacent fingerprint images in the area within the area, and judges whether the elasticity value conforms to the preset elasticity value range.
接着在步骤（S12）后执行步骤（S30）或（S40）。Then step ( S30 ) or ( S40 ) is executed after step ( S12 ).
本发明的指纹防伪方法的细节已于前述说明本发明的指纹防伪装置时进行了详细说明，在此便不再赘述。The details of the fingerprint anti-counterfeiting method of the present invention have been described in detail above in the description of the fingerprint anti-counterfeiting device of the present invention, and will not be repeated here.
综上所述，本发明的指纹防伪装置及其方法可通过分析手指在滑过指纹提取模块时的形变状态来进行指纹防伪，有效提高指纹防伪的正确性；而本发明还可通过分析以指纹图像的奇异点为中心向四周展开一区域范围内的形变来进行指纹防伪，而大幅提升指纹识别及防伪的效率。In summary, the fingerprint anti-counterfeiting device and method thereof of the present invention can carry out fingerprint anti-counterfeiting by analyzing the deformation state of the finger when it slides over the fingerprint extraction module, effectively improving the correctness of fingerprint anti-counterfeiting; The singularity point of the image is the center and expands the deformation in an area around to carry out fingerprint anti-counterfeiting, which greatly improves the efficiency of fingerprint identification and anti-counterfeiting.
以上所述仅为举例性，而非为限制性。任何未脱离本发明的精神与范畴对其进行的等效修改或变更，均应包含在权利要求的范围中。The above description is for illustration only, not for limitation. Any equivalent modification or change made without departing from the spirit and scope of the present invention shall be included in the scope of the claims.
Claims (8)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010536213.8A CN102467671B (en) | 2010-11-03 | 2010-11-03 | Fingerprint anti-counterfeiting device and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010536213.8A CN102467671B (en) | 2010-11-03 | 2010-11-03 | Fingerprint anti-counterfeiting device and method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102467671A CN102467671A (en) | 2012-05-23 |
| CN102467671B true CN102467671B (en) | 2014-10-08 |
Family
ID=46071290
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201010536213.8A Active CN102467671B (en) | 2010-11-03 | 2010-11-03 | Fingerprint anti-counterfeiting device and method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102467671B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017143571A1 (en) * | 2016-02-25 | 2017-08-31 | 深圳市汇顶科技股份有限公司 | Fingerprint identification method, device, and terminal |
| US10460144B2 (en) | 2016-07-20 | 2019-10-29 | Cypress Semiconductor Corporation | Non-finger object rejection for fingerprint sensors |
| US10599911B2 (en) * | 2016-07-20 | 2020-03-24 | Cypress Semiconductor Corporation | Anti-spoofing protection for fingerprint controllers |
| CN114463790A (en) * | 2020-10-22 | 2022-05-10 | 上海思立微电子科技有限公司 | Optical fingerprint identification and anti-counterfeiting method and system |
| 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 |
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� | A method for identifying artifacts using texture classification of gray-scale differential images in fingerprint recognition |
| CN101226589A (en) * | 2007-01-18 | 2008-07-23 | 中国科学院自动化研究所 | Live Fingerprint Detection Method Based on Thin Plate Spline Deformation Model |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
-
2010
- 2010-11-03 CN CN201010536213.8A patent/CN102467671B/en active Active
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� | A method for identifying artifacts using texture classification of gray-scale differential images in fingerprint recognition |
| CN101226589A (en) * | 2007-01-18 | 2008-07-23 | 中国科学院自动化研究所 | Live Fingerprint Detection Method Based on Thin Plate Spline Deformation Model |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102467671A (en) | 2012-05-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102446268A (en) | Fingerprint anti-counterfeiting device and method thereof | |
| CN105981045B (en) | Use the finger print identifying of touch sensor data | |
| US10091654B2 (en) | User authentication method and apparatus | |
| CN102467671B (en) | Fingerprint anti-counterfeiting device and method thereof | |
| US20180150679A1 (en) | Method and apparatus of fingerprint recognition | |
| CN105335730B (en) | Fingerprint identification method, device and terminal device | |
| CN103258157B (en) | A kind of online handwriting authentication method based on finger information and system | |
| KR20180022677A (en) | Device and computer implementation method for fingerprint-based authentication | |
| WO2016032652A1 (en) | Finger/non-finger determination for acoustic biometric sensors | |
| CN102467663A (en) | Biometrics authentication device and method | |
| CN102479328B (en) | Identity verification device and method based on biological characteristics | |
| WO2017206914A1 (en) | Fingerprint recognition method, fingerprint recognition system, and electronic device | |
| Huang et al. | Hand vein recognition based on oriented gradient maps and local feature matching | |
| CN105893809A (en) | Method for recognizing intelligent terminal user identity through SVM (Support Vector Machine) classifier | |
| CN104036245B (en) | A kind of biological feather recognition method based on online Feature Points Matching | |
| Bhartiya et al. | Biometric authentication systems: security concerns and solutions | |
| TWI421782B (en) | Fingerprint anti-spoof apparatus and method thereof | |
| CN103440447A (en) | Online handwriting identity authentication method with attacker identity recognition capability | |
| CN108062521A (en) | Method for detecting human face, device, terminal and medium based on convolutional neural networks | |
| US10713342B2 (en) | Techniques to determine distinctiveness of a biometric input in a biometric system | |
| Bharadi et al. | Multi-modal biometric recognition using human iris and dynamic pressure variation of handwritten signatures | |
| CN112084840A (en) | A Finger Vein Recognition Method Based on 3D NMI | |
| CN113505716B (en) | Training method of vein recognition model, and recognition method and device of vein image | |
| CN103729639A (en) | Palm image normalization method based on distance sensor | |
| TWI427542B (en) | Fingerprint anti-counterfeiting device and method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |