KR20150104544A - Authentication device of Utilizing Finger Vein and Finger Crease - Google Patents

Authentication device of Utilizing Finger Vein and Finger Crease Download PDF

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Publication number
KR20150104544A
KR20150104544A KR1020150119953A KR20150119953A KR20150104544A KR 20150104544 A KR20150104544 A KR 20150104544A KR 1020150119953 A KR1020150119953 A KR 1020150119953A KR 20150119953 A KR20150119953 A KR 20150119953A KR 20150104544 A KR20150104544 A KR 20150104544A
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South Korea
Prior art keywords
fingerprint
finger
finger vein
image
fingerprint fingerprint
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KR1020150119953A
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Korean (ko)
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나정식
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나정식
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Priority to KR1020150119953A priority Critical patent/KR20150104544A/en
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    • G06K9/00885—
    • G06K9/00013—
    • G06K2009/00932—

Abstract

The present invention relates to a configuration of a finger vein fingerprint fingerprint integrated imaging authentication device.
The finger vein fingerprint fingerprint authentication device 100 of the present invention includes a finger vein fingerprint camera 130 and 131 for acquiring a plurality of finger vein images and a finger finger fingerprint image from one or more fingers of a user Operation mechanism.

Figure pat00001

Description

FIELD OF THE INVENTION [0001] The present invention relates to a fingerprint authentication device,

The present invention relates to a biometric authentication technique. In particular, the present invention relates to a device for authenticating finger nod fingerprint and finger vein by integrating them.

The key point of biometric authentication technology is that biometric information unique to each person is acquired and authenticated by recognizing it. Biometric information is unique to a person and can not be separated. Although there are things such as faces, voices, and signatures, fingerprints and iridescence are generally studied and commercialized.

In the case of fingerprint recognition, there is a problem that the front of the fingerprint can be easily forged and copied. In addition, frequent authentication errors were pointed out, such as when moisture or foreign matter is present on the finger or when the finger skin is damaged or deformed. The recognition rate of fingerprint recognition is known to be about 5%. For example, five out of 100 fingerprints can not be recognized.

On the other hand, the irregularity recognition technology has pointed out the error problem by distance and angle. In addition, there was a problem that the subject failed authentication when wearing a color content lens or undergoing LASIK or LASIK surgery. Especially, the time required for authentication was long.

Fingerprint authentication technology is superior to biometrics technology in that it provides superior biometric information in all aspects, such as inferiority composition, false acceptance rate, false rejection rate, failure to enroll rate, It was announced. The finger vein authentication technique is a technique of recognizing a vein pattern by transmitting a near infrared ray to a finger. Because it authenticates the inside of the blood vessel, it can not be tampered with, and if necessary, it can utilize the finger vein pattern of the dead person. This fingerprint authentication technology combines a hardware device technology for obtaining a finger vein image using a CCD camera and a software technique for filtering a finger vein image using a pattern processing program or extracting vein patterns .

However, there are two drawbacks to the fingerprint authentication device, the first being the possibility of false recognition. It is known that one finger per 100,000 people or one per million people perceive the same vein blood vessel shape according to the finger vein processing algorithm. Therefore, despite the excellence of the fingerprint authentication technology, there was a vulnerability that the two-dimensional finger vein shape in the finger could not be authenticated correctly by only the shape of the finger vein for two persons having the same chance.

The second disadvantage is that it is necessary to compare the similarities of the two phallocentric photographs and to compare them after overlapping the two shapes as much as possible. In other words, the similarity of blood vessels in two veins is compared with reference to relative coordinates, not relative to absolute coordinates, which can be a deviation factor that hinders accurate recognition.

The inventor of the present invention has studied for a long time to solve such a problem, and after the careful completion, the present invention has been completed.

An object of the present invention is to propose a finger vein authentication method capable of remarkably improving the false recognition rate of finger vein.

On the other hand, other unspecified purposes of the present invention will be further considered within the scope of the following detailed description and easily deduced from the effects thereof.

According to the present invention, when a finger vein is photographed with an infrared camera while finger vein authentication is performed, the horizontal wrinkles of a finger inside the finger are photographed by a fingerprint scanning method, and the wrinkles are divided into a boundary line use. Thus, it is advantageous that the false recognition rate of the finger vein can be drastically improved by accurately discriminating and authenticating the compartments using the wrinkles. In addition, two finger vein images of the fingerprint side of two fingers, rather than only one side of the finger, are placed on the scan plate, and the side finger is rotated 90 degrees to capture the finger vein surface and sides It is possible to significantly reduce the false recognition rate by using only one finger vein image by extracting two finger vein images per user. Especially, when shooting with two fingers, the two fingers maintain a stable angle when shooting with two fingers as the main axis, so that the error of the shooting angle can be remarkably reduced.

On the other hand, even if the effects are not explicitly mentioned here, the effect described in the following specification, which is expected by the technical features of the present invention, and its potential effects are treated as described in the specification of the present invention.

1 is a view conceptually showing a finger vein fingerprint image acquiring mechanism of an authentication apparatus 100 according to an embodiment of the present invention.
2 is a diagram showing an internal electronic configuration example of the authentication apparatus 100 of the present invention.
Fig. 3 shows the first finger a and the second finger b taken by the finger vein camera and the finger nail fingerprint camera, respectively.
Fig. 4 shows (a) and (b) side views of a finger-joint fingerprint of the same finger taken by a finger vein camera and a finger-joint fingerprint camera.
5 is a diagram showing a configuration example of the entire process of the authentication method using the authentication device of the present invention.
* The accompanying drawings illustrate examples of the present invention in order to facilitate understanding of the technical idea of the present invention, and thus the scope of the present invention is not limited thereto.

In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may obscure the subject matter of the present invention.

Fig. 1 conceptually shows an image acquisition mechanism of the finger vein authentication apparatus 100 of the present invention.

A scan panel 105 made of a transparent material such as glass or acryl is provided on the upper part of the object accommodating portion 101. The user places the finger object on the scan panel 105 to start finger vein authentication. When the finger vein authentication by the device is started, the infrared light source unit 140 and the line-of-sight light source unit 141 irradiate infrared rays and visible rays toward the finger object. Then, the CCD infrared camera and the CCD line-of-sight camera shoot the finger vein fingerprint and the finger vein fingerprint of the irradiated finger, respectively.

In the apparatus 100 of the present invention, two CCD cameras 130 and 131 are incorporated. The finger vein camera 130 is installed inside the object accommodating unit 101 and captures the finger vein of the object toward the scan panel 105. [ At the same time, the finger-joint fingerprint camera 131 is installed in the same object accommodating portion 101 to photograph the finger-joint fingerprint of the object.

In one preferred embodiment of the present invention, the finger vein camera 130 and the finger-joint fingerprint camera 131 simultaneously photograph the finger vein fingerprint and the finger vein fingerprint image, and use both of them as biometric information, The error range can be reduced to a maximum number of days. In another preferred embodiment of the present invention, the finger vein camera 130 and the finger-joint fingerprint camera 131 capture the finger vein fingerprint and the finger vein fingerprint on the side of the finger pad fingerprint 90 degrees, respectively, It is possible to acquire two finger vein images and obtain the same error range reduction effect. When shooting the side of your finger, roll your finger 90 degrees to the side of the scan panel with your fingers on the scan panel.

2 shows an internal electronic configuration example of the finger vein photograph authentication apparatus 100 according to a preferred embodiment of the present invention. The finger vein authentication apparatus 100 includes an infrared light source 140, a finger vein camera 130, a finger fingerprint camera 131, a digital converter 150, a decryption algorithm unit 160, a biometric information data storage 170 And a display unit 180. [ Although not shown in the drawings, the power supply unit, the communication unit, and various I / O devices may be included.

The infrared light source unit 140 irradiates infrared light toward the object accommodating portion. Preferably one or more LEDs emitting infrared light having a wavelength of 630 to 1,000 nm suitable for imaging the finger vein image. In addition, preferably, an optical filter is provided to remove the light noise. The line-of-sight light source unit 141 irradiates visible light toward the object accommodating portion. And may be constituted by one or more LEDs by emitting ultraviolet light of a suitable wavelength for photographing a finger-joint fingerprint of the finger surface.

Further, in one embodiment of the present invention, one infrared light source unit 140 and one line-of-sight light source unit 141 for irradiating the infrared light and the visible light to the object accommodating unit may be provided. In another embodiment of the present invention, a plurality of infrared light sources 140 and visible light sources 141 may be provided in the object accommodating unit 101 so that infrared rays and visible rays reach the object uniformly, thereby optimizing the image acquisition.

In a preferred embodiment of the present invention, the finger vein camera 130 obtains a finger vein image for a two finger object. As shown in Figs. 3 (a) and 3 (b), the angle at which infrared rays are taken from the inner surface of two fingers. The finger-joint fingerprint camera 131 obtains finger-fingerprint images of the two finger-objects. However, the two fingers may be side by side, or may be fingers that are not side by side.

In another preferred embodiment of the present invention, the finger vein camera 130 acquires a fingerprint image of a finger object and a finger vein image of a side. As shown in Figs. 4 (a) and 4 (b), the angle at which the infrared rays are respectively photographed on the inner surface and the side surface of one finger. The finger-joint fingerprint camera 131 acquires a finger-joint fingerprint image of the fingerprint face (front face) and a finger-finger fingerprint image of the side of the one finger object. Front image of the finger object When shooting the image of the finger, place the finger nose of the finger on the side of the scan panel. When shooting the side image, roll the finger 90 degrees to the side so that the side touches the scan panel. Finger Finger Finger The fingerprint side and the side shooting order can be changed.

Digital converter 150 receives both the finger vein image and the finger finger fingerprint image and extracts the finger vein finger finger image as a finger vein finger fingerprint image. Digital converter 150, the present invention obtains two finger vein finger finger fingerprint image files for each of two fingers. The control unit 110 causes the digital conversion unit 150 to transfer the converted image files to the matching algorithm unit 160.

The biometric information data storage 170 stores biometric information of a user stored in advance. In some embodiments of the present invention, the biometric information data storage 170 may be built in the authentication device 100 internal memory. In another embodiment of the present invention, the data store 170 is located in a repository external to the device and can be accessed via wired or wireless communication. The biometric information data store 170 can use a crypto-processor that can be protected from external hardware, software attacks or theft.

The matching algorithm unit 160 acquires the user data stored in the biometric information data storage 170 and determines whether the biometric information data stored in the biometric information data storage 170 matches the user biometric information value acquired by the digital conversion unit 150. If they match, a success message can be output through the display unit 180. If the decryption is unsuccessful, the authentication failure message may be output to the display unit 18.

The control unit 110 controls the operation and the function of the authentication device 100. Particularly the finger vein image acquisition, processing, authentication calculation, and authentication result. Various software can be used in relation to the processing and calculation of acquired finger vein images. For example, a Canny edge detector algorithm can be used. By applying a Gaussian filter, the noise of the original image can be removed as a whole. Edge the image through the Image Gradient. That is, a sketch line of the image is extracted. Apply non-maximum suppression to thin edges (sketch lines), apply double thresholds to classify dark edges as solid edges, and faint edges as noise and classify them as weak edges . Finally, the weak edges are deleted, only the definite edges are left, and finally the coronal images of the veins are output.

The authentication process embodiment of the authentication apparatus of the present invention is summarized again on the basis of the detailed description as shown in Fig.

First, the person to be authenticated places his / her finger in the object accommodating portion of the authentication device in the waiting state. At this time, the authentication method can be selected from the method of using the finger pad side of the two fingers and the method using the finger pad side and side of the finger finger of one finger. In the former case, when the user places two fingers, the infrared light source and the line-of-sight light source irradiate the infrared ray and the line of sight to the two finger objects (S100), and the finger vein camera and the finger pad fingerprint camera shoot the two finger objects (S110) . In the embodiment in which only one finger is authenticated, the infrared rays, the line-of-sight photographing (S100), the finger vein fingerprinting (S110) on the finger-joint fingerprint face and the side of one finger are alternately performed twice do. That is, S100 and S110 are performed on the finger pad side of one finger, and then S100 and S110 are performed on the side of the same finger. The finger vein fingerprint images thus captured are converted into digital images.

Next, the controller extracts the captured two finger vein images (S120). At this time, as shown in 1b of Figs. 3 and 4, the finger vein image extracting area is used between the two cornices of the finger extracted from the finger finger fingerprint image , It can be processed as an edge-edged image of the vein using the canine corner detection algorithm described above. This step is performed in parallel for each finger.

Then, the biometric data of the user stored in the biometric information data storage is compared with the finger vein image of the two fingers acquired "now" and the success of the finger vein authentication at the time of matching is judged. do.

The authentication result is displayed through the display unit. It may be a result accompanied by a voice.

The authentication apparatus of the present invention greatly reduces the false recognition rate by, for example, processing images of two fingers in parallel and authenticating the fingertip fingerprint and finger vein data at the same time. In the present invention, even if two or more fingers are used, the same mechanism as that of using two fingers can be applied to the description of authentication using two fingers, so that the number of fingers is two Including all the above numbers.

The scope of protection of the present invention is not limited to the description and the expression of the embodiments explicitly described in the foregoing. It is again to be understood that the present invention is not limited by the modifications or substitutions that are obvious to those skilled in the art.

Claims (3)

An infrared light source unit for irradiating the infrared light toward the object accommodating unit and a light source unit for irradiating the visible light;
A finger vein camera for photographing a finger vein image of an object using infrared light of the infrared ray source;
A fingertip fingerprint camera installed in a parallel fashion at the same angle as the finger vein camera and capturing an image of a finger pad fingerprint image of an object using a line of sight line light;
A digital converter for converting the finger vein image and the finger pad fingerprint image into a digital image, respectively;
A biometric information data storage for storing an object finger vein image;
A control unit for determining whether or not the finger vein fingerprint image acquisition and processing and the user biometric information authentication success failure derived therefrom are failed; And
And a display unit for displaying the authentication result.
The method according to claim 1,
Fingerprint fingerprint fingerprint authentication device for fingerprint fingerprint fingerprint authentication, characterized in that fingerprint fingerprint and fingerprint fingerprint of two or more fingertip fingerprint fingerprint sides are photographed to perform biometric authentication The method according to claim 1,
Fingerprint fingerprint fingerprint fingerprint authentication device, characterized in that fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint fingerprint
KR1020150119953A 2015-08-26 2015-08-26 Authentication device of Utilizing Finger Vein and Finger Crease KR20150104544A (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101626837B1 (en) * 2015-12-08 2016-06-02 주식회사 나르테크놀로지 Method and apparatus for convergence biometric authentication based on finger joint and finger vein
KR101672541B1 (en) * 2016-04-15 2016-11-04 주식회사 뱅크볼 3d photographing apparatus checking finger vein and fingerprint at the same time
WO2017179846A1 (en) * 2016-04-15 2017-10-19 주식회사 올아이티탑 Polyhedral three-dimensional imaging device for simultaneously authenticating fingerprint and finger veins
WO2018034502A1 (en) * 2016-08-19 2018-02-22 주식회사 올아이티탑 System using multiple security authentication means for profit compensation/sharing according to content usage of user
WO2018093105A1 (en) * 2016-11-18 2018-05-24 주식회사 올아이티탑 Input/output integration module for simultaneously linking biological information algorithms
WO2018151547A1 (en) * 2017-02-16 2018-08-23 주식회사 베프스 Biometric information recognition apparatus and biometric information recognition method using same
KR20200145924A (en) * 2019-06-20 2020-12-31 동국대학교 산학협력단 Finger wrinkle recognition device and method based on deep learning

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101626837B1 (en) * 2015-12-08 2016-06-02 주식회사 나르테크놀로지 Method and apparatus for convergence biometric authentication based on finger joint and finger vein
WO2017099427A1 (en) * 2015-12-08 2017-06-15 주식회사 나르테크놀로지 Convergent biometric authentication method based on finger joint and finger vein, and apparatus therefor
US11163972B2 (en) 2015-12-08 2021-11-02 Nar Technology Co., Ltd Convergent biometric authentication method based on finger joint and finger vein, and apparatus therefor
KR101672541B1 (en) * 2016-04-15 2016-11-04 주식회사 뱅크볼 3d photographing apparatus checking finger vein and fingerprint at the same time
WO2017179846A1 (en) * 2016-04-15 2017-10-19 주식회사 올아이티탑 Polyhedral three-dimensional imaging device for simultaneously authenticating fingerprint and finger veins
JP2019511793A (en) * 2016-04-15 2019-04-25 オール イット トップ カンパニー リミテッドＡｌｌ Ｉｔ Ｔｏｐ Ｃｏ．， Ｌｔｄ． Multi-faceted stereo imaging device that simultaneously authenticates fingerprints and finger veins
WO2018034502A1 (en) * 2016-08-19 2018-02-22 주식회사 올아이티탑 System using multiple security authentication means for profit compensation/sharing according to content usage of user
WO2018093105A1 (en) * 2016-11-18 2018-05-24 주식회사 올아이티탑 Input/output integration module for simultaneously linking biological information algorithms
WO2018151547A1 (en) * 2017-02-16 2018-08-23 주식회사 베프스 Biometric information recognition apparatus and biometric information recognition method using same
KR20200145924A (en) * 2019-06-20 2020-12-31 동국대학교 산학협력단 Finger wrinkle recognition device and method based on deep learning

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