WO2018216997A1 - Signal processing method for optical pattern recognition device in skin of individual - Google Patents

Signal processing method for optical pattern recognition device in skin of individual Download PDF

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Publication number
WO2018216997A1
WO2018216997A1 PCT/KR2018/005817 KR2018005817W WO2018216997A1 WO 2018216997 A1 WO2018216997 A1 WO 2018216997A1 KR 2018005817 W KR2018005817 W KR 2018005817W WO 2018216997 A1 WO2018216997 A1 WO 2018216997A1
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pattern
light detection
light
detection pattern
wrist
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PCT/KR2018/005817
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French (fr)
Korean (ko)
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조영창
홍혁기
최연식
정석원
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전자부품연구원
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/88—Image or video recognition using optical means, e.g. reference filters, holographic masks, frequency domain filters or spatial domain filters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands

Definitions

  • the present invention relates to biometric technology, and more particularly, to an apparatus and method for identifying an individual using biometric information.
  • Fingerprints identify individuals based on their uniqueness.
  • MSP Multispectral Skin Photomatrics
  • the position of the biometric device is different every time the user wears the personal identification result, and the personal identification result is frequently caused by noise / error that may occur during detection.
  • the present invention has been made to solve the above problems, and an object of the present invention is to provide a method for personal identification that is robust against noise / error, and modulates the optical pattern in the individual skin detected by the MSP-based biometric device. It is to provide a method of processing.
  • Biometric recognition method for achieving the above object, the step of irradiating light to the wrist of the user; Detecting light diffused by the wrist with a detector array of a first size, and registering the light detection pattern; Irradiating light on the wrist of the user; Detecting light diffused by the wrist with a detector array of a second size to measure a light detection pattern; A first modulating step of modulating the measured light detection pattern; A second modulation step of modulating the registered light detection pattern; Comparing the measured light detection pattern modulated in the first modulation step with the registered light detection pattern modulated in the second modulation step; And using the comparison result, identifying the user.
  • the first modulation step may square and modulate light detection data constituting the measured light detection pattern
  • the second modulation step may square and modulate light detection data constituting the registered light detection pattern. have.
  • the first modulation step modulates the light detection data constituting the measured light detection pattern by applying a weight that varies according to the coordinates on the measured light detection pattern
  • the second modulation step includes registering the registered light detection pattern.
  • the photodetection data constituting the second photodetector may be modulated by applying a weight that varies according to the coordinates on the registered photodetection pattern.
  • the detector array of the first size is detectors in the form of an X * Y matrix
  • the detector array of the second size is detectors in the form of an S * T matrix, where X> S and Y> T and an X * Y pattern matrix.
  • the spacing between cell centers of the S * T pattern matrix may be the spacing between detectors.
  • the registered light detection pattern may be an X * Y pattern matrix in which light detection data are listed
  • the measured light detection pattern may be an S * T pattern matrix in which light detection data is listed.
  • the comparing step may compare the S * T pattern matrix and the X * Y pattern matrix while horizontally and vertically scanning the S * T pattern matrix in cell units from the X * Y pattern matrix.
  • the S * T pattern matrix is scanned vertically and horizontally in units of 1 / n cells from the X * Y pattern matrix, The T pattern matrix and the X * Y pattern matrix can be compared.
  • the comparing may perform horizontal and vertical scan while increasing n until it is determined that the S * T pattern matrix and the X * Y pattern matrix match.
  • n becomes k, it may be determined that the S * T pattern matrix and the X * Y pattern matrix do not match.
  • the personal authentication system irradiating the light to the wrist of the user, by detecting the light diffusely reflected on the wrist with a detector array of the first size, register the light detection pattern to the server A biometric information registration device;
  • a biometric device for irradiating light onto a wrist of a user and detecting light diffused and reflected on the wrist with a detector array of a second size to measure a light detection pattern;
  • modulate the light detection pattern measured by the biometric device modulate the registered light detection pattern, compare the modulated measured light detection pattern with the modulated registered light detection pattern, and identify the user using the comparison result.
  • Server irradiating the light to the wrist of the user, by detecting the light diffusely reflected on the wrist with a detector array of the first size, register the light detection pattern to the server A biometric information registration device;
  • a biometric device for irradiating light onto a wrist of a user and detecting light diffused and reflected on the wrist with a detector array of a second size to measure
  • the biometric information registration device the light source array for irradiating light to the wrist of the user; A detector array of a first size for detecting diffusely reflected light of a wrist; And a processor configured to generate a light detection pattern, transmit the light detection pattern to a server, and register the light detection pattern by using a detection result of the detector array of the first size. Detecting diffused reflections of the wrist with the receiver to receive the measured light detection pattern, modulate the received measured light detection pattern and the registered light detection pattern, and modulate the measured light detection pattern and the modulated registered light. The detection pattern is compared, and the comparison result is used to identify the user.
  • the biometric device includes a light source array for irradiating light to the wrist of the user; A detector array of a second size for detecting diffusely reflected light of the wrist; And a processor configured to measure and transmit a light detection pattern to a server by using the detection result of the detector array of the second size, wherein the server irradiates light to the wrist of the user and sends the wrist to the detector array of the first size. Registers the measured light detection pattern by modulating the reflected reflection lights, modulates the received light detection pattern and the registered light detection pattern, and modulates the modulated measured light detection pattern and the modulated registered light detection pattern. The comparison is used to identify the user.
  • 1 to 4 are views provided to explain the concept of horizontal biometrics using a plurality of light sources
  • 10 to 11 are diagrams provided for illustrating a concept of modulation of a pattern matrix
  • 15 and 16 are detailed block diagrams of the biometric device shown in FIG. 14.
  • 1 is a view provided to explain the concept of a biometric recognition based on MSP (Multispectral Skin Photomatrics) applicable to an embodiment of the present invention.
  • MSP Multispectral Skin Photomatrics
  • LED light emitting diode
  • PD photo diode
  • the LED-arrays 220-1 and 220-2 and the PD-arrays 230-1 and 230-2 are elements provided in the biometric device according to the embodiment of the present invention.
  • the biometric device is attached to the skin of the human body, as shown in FIG. 2, the LEDs irradiate light onto the skin, and the PDs detect light that diffusely reflects off the skin. Specifically,
  • PD-1 detects the light irradiated by LED-1 and diffusely reflected the skin and the light irradiated by LED-2 and diffusely reflected the skin
  • PD-2 also detects light irradiated by LED-1 to diffusely reflect the skin and light irradiated on LED-2 to diffusely reflect the skin.
  • the wavelength of the LED-array-1 220-1 and the wavelength of the LED-array-2 220-2 may be implemented differently.
  • the LEDs constituting the LED-array-1 220-1 may be implemented with red LEDs
  • the LEDs constituting the LED-array-2 220-2 may be implemented with blue LEDs.
  • each of the LEDs constituting the LED-arrays 220-1 and 220-2 may be implemented with various wavelengths.
  • the LED-array-1 220-1 may be implemented as an IR-LED or a Red-LED. , Green-LED, Blue-LED can be repeatedly arranged, and this is also the case for the LED-array-2 (220-2).
  • FIG. 3 Such an implementation is illustrated in FIG. 3.
  • the LED-arrays 220-1 and 220-2 are each composed of N LEDs, and the PD-arrays 230-1 and 230-2 are each composed of N PDs, the LEDs are divided into M branches.
  • M light detection patterns can be obtained.
  • One light detection pattern includes 2N light detection data. Using M light detection patterns is more accurate in biometric recognition than using one light detection pattern.
  • LED combinations can be configured in various ways. E.g, in biometrics, LED combinations can be configured in various ways. E.g, in biometrics, LED combinations can be configured in various ways. E.g, in biometrics, LED combinations can be configured in various ways. E.g, in biometrics, LED combinations can be configured in various ways. E.g, in biometrics, LED combinations can be configured in various ways. E.g, in biometrics, LED combinations can be configured in various ways. E.g,
  • M It is possible to generate the Mth light detection pattern by turning on only the IR-LED, Red-LED and Green-LED.
  • M * 2N photodetection data can be obtained, which corresponds to M photodetection patterns.
  • One light detection pattern is composed of 2N light detection data.
  • the M light detection patterns can be used for biometrics. Can be.
  • a DB is stored by storing M light detection patterns for each individual, and biometrics can be used using the DB.
  • the arrangement of the LED-array and the PD-array shown in FIG. 1 may be extended as shown in FIG. 5.
  • the PDs are arranged in the form of S * T matrix in the biometric device.
  • one light detection pattern may be expressed in a matrix form as shown in FIG. 6.
  • the light detection pattern expressed in matrix form in FIG. 6 is referred to as a pattern matrix.
  • the pattern matrix shown in FIG. 6 may be referred to as image information obtained by matching photodetection data according to an arrangement of PDs.
  • the centers of the cells constituting the pattern matrix coincide with the centers of the corresponding PDs.
  • the distance between the centers of cells constituting the pattern matrix coincides with the distance between corresponding PDs.
  • M pattern matrices shown in FIG. 6 are also generated.
  • the generated M pattern matrices are compared with each of the M pattern matrices registered in the DB, and a personal identification procedure is performed based on the match.
  • the former is referred to as the measurement pattern matrix and the latter as the registration pattern matrix.
  • the measurement pattern matrix is illustrated in FIG. 6, and the registration pattern matrix is illustrated in FIG. 7. As can be seen from FIGS. 6 and 7, the size of the registration pattern matrix is larger than the size of the measurement pattern matrix. That is, "X> S" and "Y> T”.
  • FIGS. 8 and 9 show a process of comparing a measurement pattern matrix and a registration pattern matrix while correcting a wearing position to determine whether there is a match.
  • the measurement pattern matrix S * T is scanned horizontally and vertically in the cell unit (the spacing between PDs) from the registration pattern matrix X * Y while comparing the pattern matrices. Determine if it matches.
  • the measurement pattern matrix S * T is first divided into 1/2 cell units from the registration pattern matrix X * Y. 1/2) the horizontal and vertical shift scans of the intervals between PDs, comparing the pattern matrices to determine if they match.
  • the measurement pattern matrix S * T is determined in 1/4 cell units (1/4 of the interval between PDs) in the registration pattern matrix X * Y. While scanning horizontally and vertically, the pattern matrices are compared to determine if they match.
  • the measurement pattern matrix S * T and registration pattern matrix X * Y are treated as not matching, and the measurement pattern matrix and registration pattern for the next light source combination
  • a process of determining a match is performed by comparing the matrix by horizontally and vertically scanning the cells.
  • the light detection data of the measurement pattern matrix is squared to modulate the measurement pattern matrix
  • the light detection data of the registration pattern matrix is squared to form a registration pattern matrix. It is possible to modulate.
  • Modulating the pattern matrices increases the resolution between photodetection data, which can contribute to noise / error robust personal identification.
  • the modulation method of the light detection data constituting the pattern matrix may be performed by a calculation other than the square operation. For example, it is possible to modulate according to the following equation.
  • Measurement pattern matrix R ab ⁇ w R (a, b) * R ab
  • the modulation of the light detection data can be expressed by the following equation.
  • Measurement pattern matrix R ab ⁇ F R (R ab )
  • the personal authentication system includes a biometric information registration device 100, a biometric device 200, a smartphone 300, and a personal authentication server 400. .
  • the biometric information registration device 100 generates registration pattern matrices (X * Y) for the user and registers them in the personal authentication server 400.
  • the biometric device 200 generates measurement pattern matrices (S * T) for the user and transmits them to the personal authentication server 400 through the smartphone 300.
  • Personal authentication server 400 modulates the registration pattern matrix (X * Y) generated by the biometric information registration device 100 to register in the DB as biometric information (authentication information), biometric recognition through the smartphone 300
  • the measurement pattern matrixes S * T received from the apparatus 200 are modulated and compared to determine a match, and personal authentication is performed using the determination results.
  • the biometric device 200 illustrated in FIG. 14 may include a power supply 210, an LED array 220, a PD array 230, an LPF & Amp 240, and an ADC 250. , A controller 260, a processor 270, and a communication unit 280.
  • the power supply 210 is implemented as a constant voltage source or a constant current source, and supplies power required for light emission of the LED array 220.
  • the LPF & 240 performs filtering to remove noise from the photocurrent resulting from the photodetection by the PD array 230, amplifies the filtered photocurrent, and applies it to the ADC 250.
  • the ADC 250 converts the analog optical current signal output from the LPF & 240 into a digital signal and applies it to the processor 270.
  • the processor 270 generates measurement pattern matrices S * T by using the photocurrent signal transmitted from the ADC 250, and generates the measured pattern matrices S * T through the communication unit 280 through the smartphone. Send to 300.
  • the controller 260 controls the selective driving and intensity of the LED array 220 and the selective driving of the PD array 230. That is, the controller 260 controls only some of the LEDs constituting the LED array 220 to operate.
  • the controller 260 sets the cutoff frequency of the LPF & 240 and controls the gain.
  • Processor 270 may be incorporated into controller 260.
  • biometric information registration device 100 may be implemented in almost the same manner as the biometric device 200 shown in FIG. 15, a detailed description thereof will be omitted.
  • the modulation of the registration pattern matrix X * Y and the measurement pattern matrix S * T is performed by the personal authentication server 400, but it is merely exemplary.
  • Modulation of the registration pattern matrix X * Y is performed by the biometric information registration device 100, not the personal authentication server 400, and modulation of the measurement pattern matrix S * T by the biometric device 200. It is possible to implement so that is performed.
  • FIG. 16 is a diagram illustrating another example of the biometric device 200.
  • the biometric device 100 shown in FIG. 16 differs from the biometric device 200 shown in FIG. 15 in that it does not include the communication unit 280 but includes the DB 290.
  • the DB 290 stores the modulated registration pattern matrix X * Y.
  • the processor 270 of the biometric device 200 shown in FIG. 16 generates the measurement pattern matrices S * T by using the optical current signal transmitted from the ADC 250 and generates the generated measurement pattern matrices S. Modulate * T), compare the modulated measurement pattern matrix (S * T) with the modulated registration pattern matrix (X * Y) stored in the DB 280 to determine a match, and use the discrimination results to determine Perform authentication.

Abstract

Provided is a signal processing method for an optical pattern recognition device in the skin of an individual. A biometric method, according to an embodiment of the present invention, registers a light detection pattern by irradiating light to a wrist of a user and detecting light diffusely reflected from the wrist by using a detector array; measures a light detection pattern by irradiating light to the wrist of the user and detecting light diffusely reflected from the wrist by using the detector array; modulates the measured light detection pattern and the registered light detection pattern; and compares the modulated measured light detection pattern with the registered light detection pattern so as to identify the user. Thus, by modulating and processing an optical pattern in the skin of an individual detected by an MSP-based biometric device, personal identification robust against noises/errors becomes possible.

Description

개인 피부 속 광학 패턴인식 장치의 신호 처리 방법Signal Processing Method of Optical Pattern Recognition Device in Personal Skin
본 발명은 생체인식 기술에 관한 것으로, 더욱 상세하게는 생체 정보를 이용하여 개인을 식별하기 위한 장치 및 방법에 관한 것이다.The present invention relates to biometric technology, and more particularly, to an apparatus and method for identifying an individual using biometric information.
생체 정보를 이용한 생체인식 기술로써, 현재 가장 널리 활용되는 것이 지문 인식 기술이다. 지문은 사람 마다 유일하다는 점을 근거로, 개인을 식별하는 것이다.As a biometric technology using biometric information, the most widely used fingerprint recognition technology is presently used. Fingerprints identify individuals based on their uniqueness.
하지만, 최근 실리콘에 지문을 찍어 가짜 손가락을 만들고, 이를 이용하여 부정한 지문 인식을 하였다는 뉴스를 통해 알 수 있듯, 지문 인식은 한계를 가지고 있다.However, as you can see from the recent news that fingerprints were made on silicon and fake fingerprints were used, the fingerprint recognition has limitations.
부정한 개인 인증이 불가능한 보다 개선된 방식의 생체 정보를 이용한 생체인식 기법이 필요한 이유이다.This is why there is a need for a biometric technique using an improved biometric information that is not capable of unauthorized personal authentication.
이에, MSP(Multispectral Skin Photomatrics) 기반의 생체인식 기술이 개발되었다. 이를 위해서는 생체인식 장치를 손목에 착용하여 생체정보를 획득하고, 이를 등록된 생체정보와 비교하여야 한다.Accordingly, MSP (Multispectral Skin Photomatrics) based biometric technology has been developed. To do this, a biometric device is worn on a wrist to obtain biometric information, and the biometric device is compared with registered biometric information.
하지만, 착용할 때마다 생체인식 장치의 위치가 달라 개인 식별 결과가 잘못되고, 검출시에 발생할 수 있는 잡음/오류에 의해 개인 식별 결과가 잘못되는 경우가 빈번하다.However, the position of the biometric device is different every time the user wears the personal identification result, and the personal identification result is frequently caused by noise / error that may occur during detection.
본 발명은 상기와 같은 문제점을 해결하기 위하여 안출된 것으로서, 본 발명의 목적은, 잡음/오류에 강건한 개인 식별을 위한 방안으로, MSP 기반 생체인식 장치에 의해 검출된 개인 피부 속 광학 패턴을 변조하여 처리하는 방법을 제공함에 있다.The present invention has been made to solve the above problems, and an object of the present invention is to provide a method for personal identification that is robust against noise / error, and modulates the optical pattern in the individual skin detected by the MSP-based biometric device. It is to provide a method of processing.
상기 목적을 달성하기 위한 본 발명의 일 실시예에 따른, 생체인식 방법은, 사용자의 손목에 광을 조사하는 단계; 제1 사이즈의 검출기 어레이로 손목을 확산반사한 광을 검출하여, 광 검출 패턴을 등록하는 단계; 사용자의 손목에 광을 조사하는 단계; 제2 사이즈의 검출기 어레이로 손목을 확산반사한 광을 검출하여, 광 검출 패턴을 측정하는 단계; 측정된 광 검출 패턴을 변조하는 제1 변조단계; 등록된 광 검출 패턴을 변조하는 제2 변조단계; 제1 변조단계에서 변조된 측정된 광 검출 패턴과 제2 변조단계에서 변조된 등록된 광 검출 패턴을 비교하는 단계; 및 비교 결과를 이용하여, 사용자를 식별하는 단계;를 포함한다.Biometric recognition method according to an embodiment of the present invention for achieving the above object, the step of irradiating light to the wrist of the user; Detecting light diffused by the wrist with a detector array of a first size, and registering the light detection pattern; Irradiating light on the wrist of the user; Detecting light diffused by the wrist with a detector array of a second size to measure a light detection pattern; A first modulating step of modulating the measured light detection pattern; A second modulation step of modulating the registered light detection pattern; Comparing the measured light detection pattern modulated in the first modulation step with the registered light detection pattern modulated in the second modulation step; And using the comparison result, identifying the user.
그리고, 제1 변조 단계는, 측정된 광 검출 패턴을 구성하는 광 검출 데이터들을 각각 제곱하여 변조하고, 제2 변조 단계는, 등록된 광 검출 패턴을 구성하는 광 검출 데이터들을 각각 제곱하여 변조할 수 있다.The first modulation step may square and modulate light detection data constituting the measured light detection pattern, and the second modulation step may square and modulate light detection data constituting the registered light detection pattern. have.
또한, 제1 변조 단계는, 측정된 광 검출 패턴을 구성하는 광 검출 데이터들을 측정된 광 검출 패턴 상에서의 좌표에 따라 가변되는 가중치를 적용하여 변조하고, 제2 변조 단계는, 등록된 광 검출 패턴을 구성하는 광 검출 데이터들을 등록된 광 검출 패턴 상에서의 좌표에 따라 가변되는 가중치를 적용하여 변조할 수 있다.In addition, the first modulation step modulates the light detection data constituting the measured light detection pattern by applying a weight that varies according to the coordinates on the measured light detection pattern, and the second modulation step includes registering the registered light detection pattern. The photodetection data constituting the second photodetector may be modulated by applying a weight that varies according to the coordinates on the registered photodetection pattern.
그리고, 제1 사이즈의 검출기 어레이는, X*Y 매트릭스 형태의 검출기들이고, 제2 사이즈의 검출기 어레이는, S*T 매트릭스 형태의 검출기들이며, X>S이고 Y>T이고, X*Y 패턴 매트릭스와 S*T 패턴 매트릭스의 셀 중심 간 간격은, 검출기들 간 간격일 수 있다.The detector array of the first size is detectors in the form of an X * Y matrix, and the detector array of the second size is detectors in the form of an S * T matrix, where X> S and Y> T and an X * Y pattern matrix. And the spacing between cell centers of the S * T pattern matrix may be the spacing between detectors.
또한, 등록된 광 검출 패턴은, 광 검출 데이터들이 나열된 X*Y 패턴 매트릭스이고, 측정된 광 검출 패턴은, 광 검출 데이터들이 나열된 S*T 패턴 매트릭스일 수 있다.In addition, the registered light detection pattern may be an X * Y pattern matrix in which light detection data are listed, and the measured light detection pattern may be an S * T pattern matrix in which light detection data is listed.
그리고, 비교단계는, S*T 패턴 매트릭스를 X*Y 패턴 매트릭스에서 셀 단위로 가로 세로 스캔하면서, S*T 패턴 매트릭스와 X*Y 패턴 매트릭스를 비교할 수 있다.The comparing step may compare the S * T pattern matrix and the X * Y pattern matrix while horizontally and vertically scanning the S * T pattern matrix in cell units from the X * Y pattern matrix.
또한, 비교단계는, S*T 패턴 매트릭스와 X*Y 패턴 매트릭스가 일치하지 않는 것으로 판별되면, S*T 패턴 매트릭스를 X*Y 패턴 매트릭스에서 1/n 셀 단위로 가로 세로 스캔하면서, S*T 패턴 매트릭스와 X*Y 패턴 매트릭스를 비교할 수 있다.In addition, if it is determined that the S * T pattern matrix and the X * Y pattern matrix do not coincide with each other, the S * T pattern matrix is scanned vertically and horizontally in units of 1 / n cells from the X * Y pattern matrix, The T pattern matrix and the X * Y pattern matrix can be compared.
그리고, 비교단계는, S*T 패턴 매트릭스와 X*Y 패턴 매트릭스가 일치한다고 판별될 때까지, n을 증가시면서 가로 세로 스캔을 수행할 수 있다.In addition, the comparing may perform horizontal and vertical scan while increasing n until it is determined that the S * T pattern matrix and the X * Y pattern matrix match.
또한, 비교단계는, n이 k가 되면, S*T 패턴 매트릭스와 X*Y 패턴 매트릭스가 불일치한다고 판별할 수 있다.In addition, in the comparison step, when n becomes k, it may be determined that the S * T pattern matrix and the X * Y pattern matrix do not match.
한편, 본 발명의 다른 실시예에 따른, 개인인증 시스템은, 사용자의 손목에 광을 조사하고, 제1 사이즈의 검출기 어레이로 손목을 확산반사한 광들을 검출하여, 광 검출 패턴을 하기 서버에 등록하는 생체정보 등록 장치; 사용자의 손목에 광을 조사하고, 제2 사이즈의 검출기 어레이로 손목을 확산반사한 광들을 검출하여, 광 검출 패턴을 측정하는 생체인식 장치; 및 생체인식 장치에서 측정된 광 검출 패턴을 변조하고, 등록된 광 검출 패턴을 변조하며, 변조된 측정된 광 검출 패턴과 변조된 등록된 광 검출 패턴을 비교하고, 비교 결과를 이용하여 사용자를 식별하는 서버;를 포함한다.On the other hand, according to another embodiment of the present invention, the personal authentication system, irradiating the light to the wrist of the user, by detecting the light diffusely reflected on the wrist with a detector array of the first size, register the light detection pattern to the server A biometric information registration device; A biometric device for irradiating light onto a wrist of a user and detecting light diffused and reflected on the wrist with a detector array of a second size to measure a light detection pattern; And modulate the light detection pattern measured by the biometric device, modulate the registered light detection pattern, compare the modulated measured light detection pattern with the modulated registered light detection pattern, and identify the user using the comparison result. Server;
한편, 본 발명의 다른 실시예에 따른, 생체정보 등록 장치는, 사용자의 손목에 광을 조사하는 광원 어레이; 손목을 확산반사한 광들을 검출하는 제1 사이즈의 검출기 어레이; 및 제1 사이즈의 검출기 어레이에서의 검출 결과를 이용하여 광 검출 패턴을 생성하여 서버로 전송하여 등록하는 프로세서;를 포함하고, 서버는, 사용자의 손목에 광을 조사하고, 제2 사이즈의 검출기 어레이로 손목을 확산반사한 광들을 검출하여, 측정된 광 검출 패턴을 수신하고, 수신된 측정된 광 검출 패턴과 등록된 광 검출 패턴을 변조하고, 변조된 측정된 광 검출 패턴과 변조된 등록된 광 검출 패턴을 비교하며, 비교 결과를 이용하여 사용자를 식별한다.On the other hand, the biometric information registration device according to another embodiment of the present invention, the light source array for irradiating light to the wrist of the user; A detector array of a first size for detecting diffusely reflected light of a wrist; And a processor configured to generate a light detection pattern, transmit the light detection pattern to a server, and register the light detection pattern by using a detection result of the detector array of the first size. Detecting diffused reflections of the wrist with the receiver to receive the measured light detection pattern, modulate the received measured light detection pattern and the registered light detection pattern, and modulate the measured light detection pattern and the modulated registered light. The detection pattern is compared, and the comparison result is used to identify the user.
한편, 본 발명의 다른 실시예에 따른, 생체인식 장치는, 사용자의 손목에 광을 조사하는 광원 어레이; 손목을 확산반사한 광들을 검출하는 제2 사이즈의 검출기 어레이; 및 제2 사이즈의 검출기 어레이에서의 검출 결과를 이용하여 광 검출 패턴을 측정하여 서버로 전송하는 프로세서;를 포함하고, 서버는, 사용자의 손목에 광을 조사하고, 제1 사이즈의 검출기 어레이로 손목을 확산반사한 광들을 검출하여 측정된 광 검출 패턴을 등록하고, 수신된 측정된 광 검출 패턴과 등록된 광 검출 패턴을 변조하고, 변조된 측정된 광 검출 패턴과 변조된 등록된 광 검출 패턴을 비교하며, 비교 결과를 이용하여 사용자를 식별한다.On the other hand, according to another embodiment of the present invention, the biometric device includes a light source array for irradiating light to the wrist of the user; A detector array of a second size for detecting diffusely reflected light of the wrist; And a processor configured to measure and transmit a light detection pattern to a server by using the detection result of the detector array of the second size, wherein the server irradiates light to the wrist of the user and sends the wrist to the detector array of the first size. Registers the measured light detection pattern by modulating the reflected reflection lights, modulates the received light detection pattern and the registered light detection pattern, and modulates the modulated measured light detection pattern and the modulated registered light detection pattern. The comparison is used to identify the user.
이상 설명한 바와 같이, 본 발명의 실시예들에 따르면, MSP 기반 생체인식 장치에 의해 검출된 개인 피부 속 광학 패턴을 변조하여 처리함으로써, 잡음/오류에 강건한 개인 식별이 가능해진다.As described above, according to embodiments of the present invention, by identifying and processing the optical pattern in the individual skin detected by the MSP-based biometric device, it is possible to identify the individual robust to noise / error.
도 1 내지 도 4는, 다수의 광원을 이용한 수평적 생체인식의 개념 설명에 제공되는 도면,1 to 4 are views provided to explain the concept of horizontal biometrics using a plurality of light sources,
도 5 내지 도 7은, 패턴 매트릭스의 개념 설명에 제공되는 도면,5 to 7 are provided for explaining the concept of the pattern matrix,
도 8 및 도 9는, 착용 위치 보정 방법의 설명에 제공되는 도면,8 and 9 are views provided to explain the wearing position correction method,
도 10 내지 도 11은, 패턴 매트릭스의 변조에 대한 개념 설명에 제공되는 도면,10 to 11 are diagrams provided for illustrating a concept of modulation of a pattern matrix,
도 12 및 도 13은, 패턴 매트릭스를 변조한 경우의 착용 위치 보정 방법의 설명에 제공되는 도면,12 and 13 are diagrams for explaining the wearing position correction method when the pattern matrix is modulated;
도 14는 본 발명의 일 실시예에 따른 MPS 기반 개인인증 시스템의 설명에 제공되는 도면, 그리고,14 is a view provided to explain the MPS-based personal authentication system according to an embodiment of the present invention, and
도 15 및 도 16은, 도 14에 도시된 생체인식 장치의 상세 블럭도들이다.15 and 16 are detailed block diagrams of the biometric device shown in FIG. 14.
이하에서는 도면을 참조하여 본 발명을 보다 상세하게 설명한다.Hereinafter, with reference to the drawings will be described the present invention in more detail.
도 1은 본 발명의 실시예에 적용가능한 MSP(Multispectral Skin Photomatrics) 기반의 생체인식의 개념 설명에 제공되는 도면이다.1 is a view provided to explain the concept of a biometric recognition based on MSP (Multispectral Skin Photomatrics) applicable to an embodiment of the present invention.
도 1에 도시된 바와 같이, 안쪽에는 LED(Light Emitting Diode)-어레이들(220-1, 220-2)이 나열되고, 바깥쪽에는 PD(Photo Diode)-어레이들(230-1, 230-2)이 나열되어 있다.As shown in FIG. 1, light emitting diode (LED) -arrays 220-1 and 220-2 are listed on the inside, and photo diode (PD)-arrays 230-1 and 230-on the outside. 2) is listed.
LED-어레이들(220-1, 220-2)과 PD-어레이들(230-1, 230-2)은 본 발명의 실시예에 따른 생체인식 장치에 마련되는 소자들이다. 생체인식 장치는 인체의 피부에 부착되어, 도 2에 도시된 바와 같이, LED들는 피부에 광을 조사하고, PD들은 피부를 확산반사한 광을 검출한다. 구체적으로,The LED-arrays 220-1 and 220-2 and the PD-arrays 230-1 and 230-2 are elements provided in the biometric device according to the embodiment of the present invention. The biometric device is attached to the skin of the human body, as shown in FIG. 2, the LEDs irradiate light onto the skin, and the PDs detect light that diffusely reflects off the skin. Specifically,
1) PD-1은, LED-1에서 조사되어 피부를 확산반사한 광 및 LED-2에서 조사되어 피부를 확산반사한 광을 검출하고,1) PD-1 detects the light irradiated by LED-1 and diffusely reflected the skin and the light irradiated by LED-2 and diffusely reflected the skin,
2) PD-2도, LED-1에서 조사되어 피부를 확산반사한 광 및 LED-2에서 조사되어 피부를 확산반사한 광을 검출한다.2) PD-2 also detects light irradiated by LED-1 to diffusely reflect the skin and light irradiated on LED-2 to diffusely reflect the skin.
LED-어레이-1(220-1)의 파장과 LED-어레이-2(220-2)의 파장을 다르게 구현할 수 있다. 이를 테면, LED-어레이-1(220-1)를 구성하는 LED들은 Red-LED들로 구현하고, LED-어레이-2(220-2)를 구성하는 LED들은 Blue-LED들로 구현할 수 있다.The wavelength of the LED-array-1 220-1 and the wavelength of the LED-array-2 220-2 may be implemented differently. For example, the LEDs constituting the LED-array-1 220-1 may be implemented with red LEDs, and the LEDs constituting the LED-array-2 220-2 may be implemented with blue LEDs.
나아가, LED-어레이(220-1, 220-2)를 구성하는 각각의 LED들을 다양한 파장들로 구현할 수도 있다 이를 테면, LED-어레이-1(220-1)을, IR-LED, Red-LED, Green-LED, Blue-LED를 반복 배치하여 구현할 수 있으며, 이는 LED-어레이-2(220-2)의 경우도 마찬가지이다. 이와 같은 구현을 도 3에 예시하였다.Furthermore, each of the LEDs constituting the LED-arrays 220-1 and 220-2 may be implemented with various wavelengths. For example, the LED-array-1 220-1 may be implemented as an IR-LED or a Red-LED. , Green-LED, Blue-LED can be repeatedly arranged, and this is also the case for the LED-array-2 (220-2). Such an implementation is illustrated in FIG. 3.
LED-어레이(220-1, 220-2)가 각각 N 개의 LED들로 구성되고, PD-어레이(230-1, 230-2)가 각각 N 개의 PD들로 구성된다고 하면, LED들을 M 가지로 조합하여, M 개의 광 검출 패턴을 얻을 수 있게 된다. 1개의 광 검출 패턴은 2N 개의 광 검출 데이터들을 포함한다. M 개의 광 검출 패턴을 이용하는 것이, 1개의 광 검출 패턴을 이용하는 것보다, 생체인식의 정확도는 더욱 높아진다.If the LED-arrays 220-1 and 220-2 are each composed of N LEDs, and the PD-arrays 230-1 and 230-2 are each composed of N PDs, the LEDs are divided into M branches. In combination, M light detection patterns can be obtained. One light detection pattern includes 2N light detection data. Using M light detection patterns is more accurate in biometric recognition than using one light detection pattern.
생체인식 시, LED 조합은 다양하게 구성할 수 있다. 예를 들어,In biometrics, LED combinations can be configured in various ways. E.g,
1) IR-LED과 Red-LED 만을 On 하여, 첫 번째의 광 검출 패턴을 생성,1) Only the IR-LED and Red-LED are turned on to generate the first light detection pattern.
2) IR-LED과 Green-LED 만을 On 하여, 두 번째의 광 검출 패턴을 생성,2) Only the IR-LED and Green-LED are turned on to create a second light detection pattern.
3) IR-LED과 Blue-LED 만을 On 하여, 세 번째의 광 검출 패턴을 생성,3) Only the IR-LED and Blue-LED are turned on to generate a third light detection pattern.
4) Red-LED과 Green-LED 만을 On 하여, 네 번째의 광 검출 패턴을 생성,4) Only the Red-LED and Green-LED are turned on to generate the fourth light detection pattern.
......
M) IR-LED, Red-LED 및 Green-LED 만을 On 하여 M 번째의 광 검출 패턴을 생성하는 것이 가능하다.M) It is possible to generate the Mth light detection pattern by turning on only the IR-LED, Red-LED and Green-LED.
이에 의해, 도 4에 도시된 바와 같이, M*2N 개의 광 검출 데이터를 얻을 수 있게 되며, 이는 M 개의 광 검출 패턴에 해당한다. 하나의 광 검출 패턴은 2N 개의 광 검출 데이터들로 구성된다.As a result, as shown in FIG. 4, M * 2N photodetection data can be obtained, which corresponds to M photodetection patterns. One light detection pattern is composed of 2N light detection data.
한편, 사용자 마다 피부 상태(주름, 건피 두께/밀도, 진피 두께/밀도 등)와 피부 내 조직 상태(혈관 위치/형상, 근육 위치/형상)가 다르기 때문에, M 개의 광 검출 패턴은 생체인식에 이용할 수 있다.On the other hand, since different skin conditions (wrinkle, skin thickness / density, dermis thickness / density, etc.) and tissue state (vascular position / shape, muscle position / shape) are different for each user, the M light detection patterns can be used for biometrics. Can be.
즉, M 개의 광 검출 패턴을 개인 별로 저장하여 DB를 구축하고, 이를 이용하여 생체인식이 가능한 것이다.That is, a DB is stored by storing M light detection patterns for each individual, and biometrics can be used using the DB.
한편, 도 1에 도시된 LED-어레이와 PD-어레이의 배열은, 도 5에 도시된 바와 같이 확장시킬 수 있다. 도 5에 도시된 경우, 생체인식 장치에서 PD들은 S*T 매트릭스 형태로 배열된다.Meanwhile, the arrangement of the LED-array and the PD-array shown in FIG. 1 may be extended as shown in FIG. 5. In the case of FIG. 5, the PDs are arranged in the form of S * T matrix in the biometric device.
그리고, 이 경우 1개의 광 검출 패턴은 도 6에 도시된 바와 같이 매트릭스 형태로 표현할 수 있다. 지시와 표기의 편의를 위해, 도 6에서 매트릭스 형태로 표현한 광 검출 패턴을 패턴 매트릭스로 지칭한다.In this case, one light detection pattern may be expressed in a matrix form as shown in FIG. 6. For convenience of indication and notation, the light detection pattern expressed in matrix form in FIG. 6 is referred to as a pattern matrix.
도 6에 도시된 패턴 매트릭스는 광 검출 데이터들을 PD들의 배열에 따라 매칭시킨 이미지 정보라 할 수 있다. 따라서, 패턴 매트릭스를 구성하는 셀들의 중심들은 해당 PD들의 중심들과 일치한다. 또한, 패턴 매트릭스를 구성하는 셀들의 중심 간 거리는 해당 PD들 간의 거리와 일치한다.The pattern matrix shown in FIG. 6 may be referred to as image information obtained by matching photodetection data according to an arrangement of PDs. Thus, the centers of the cells constituting the pattern matrix coincide with the centers of the corresponding PDs. In addition, the distance between the centers of cells constituting the pattern matrix coincides with the distance between corresponding PDs.
LED들을 M 가지로 조합하여 M 개의 광 검출 패턴을 획득하는 경우, 도 6에 도시된 패턴 매트릭스도 M 개가 생성된다.When M LEDs are combined into M branches to obtain M light detection patterns, M pattern matrices shown in FIG. 6 are also generated.
생성된 M 개의 패턴 매트릭스들은 DB에 등록되어 있는 M 개의 패턴 매트릭스들과 각각 비교되어, 일치도를 기초로 개인 식별 절차가 수행된다.The generated M pattern matrices are compared with each of the M pattern matrices registered in the DB, and a personal identification procedure is performed based on the match.
생체인식 장치에서 측정을 통해 생성된 패턴 매트릭스와 DB에 등록되어 있는 패턴 매트릭스를 구분하여 표기하기 위해, 전자는 측정 패턴 매트릭스로, 후자는 등록 패턴 매트릭스로, 각각 표기한다.In order to distinguish and display the pattern matrix generated through measurement in the biometric device and the pattern matrix registered in the DB, the former is referred to as the measurement pattern matrix and the latter as the registration pattern matrix.
측정 패턴 매트릭스는 도 6에 예시되어 있고, 등록 패턴 매트릭스은 도 7에 예시되어 있다. 도 6과 도 7을 통해 알 수 있는 바와 같이, 등록 패턴 매트릭스의 사이즈는 측정 패턴 매트릭스의 사이즈 보다 크다. 즉, "X>S"이고, "Y>T"이다.The measurement pattern matrix is illustrated in FIG. 6, and the registration pattern matrix is illustrated in FIG. 7. As can be seen from FIGS. 6 and 7, the size of the registration pattern matrix is larger than the size of the measurement pattern matrix. That is, "X> S" and "Y> T".
이하에서, 측정 패턴 매트릭스와 등록 패턴 매트릭스를 비교하여 일치 여부를 판별하는 과정에 대해, 도 8 및 도 9를 참조하여 상세히 설명한다.Hereinafter, a process of comparing the measurement pattern matrix and the registration pattern matrix to determine whether they match will be described in detail with reference to FIGS. 8 and 9.
도 8 및 도 9에는 착용 위치를 보정하면서 측정 패턴 매트릭스와 등록 패턴 매트릭스를 비교하여 일치 여부를 판별하는 과정에 나타나 있다.8 and 9 show a process of comparing a measurement pattern matrix and a registration pattern matrix while correcting a wearing position to determine whether there is a match.
도 8에 도시된 바와 같이, 먼저 측정 패턴 매트릭스(S*T)를 등록 패턴 매트릭스(X*Y)에서 셀 단위(PD들 간 간격)로 가로 세로 이동(shift) 스캔하면서, 패턴 매트릭스들을 비교하면서 일치하는지 판별한다.As shown in FIG. 8, first, the measurement pattern matrix S * T is scanned horizontally and vertically in the cell unit (the spacing between PDs) from the registration pattern matrix X * Y while comparing the pattern matrices. Determine if it matches.
가로 스캔 범위는 1 ~ (Y-T) 이고, 세로 스캔 범위는 1 ~ (X-S) 이므로, 최대 비교 횟수는 (Y-T)*(X-S) 회이다.Since the horizontal scan range is 1 to (Y-T) and the vertical scan range is 1 to (X-S), the maximum number of comparisons is (Y-T) * (X-S) times.
스캔 중에 패턴 매트릭스들이 일치하는 것으로 판별되면, 다음 광원 조합에 대한 측정 패턴 매트릭스와 등록 패턴 매트릭스를 비교하여 일치 여부를 판별하는 절차가 개시된다.If the pattern matrices are determined to match during the scan, a procedure of comparing the measurement pattern matrix and the registration pattern matrix for the next light source combination to determine whether they match is disclosed.
만약, 스캔이 완료되었음에도, 패턴 매트릭스들이 일치하지 않는 것으로 판별되면, 도 9에 도시된 바와 같이, 먼저 측정 패턴 매트릭스(S*T)를 등록 패턴 매트릭스(X*Y)에서 1/2 셀 단위(PD들 간 간격의 1/2) 가로 세로 이동 스캔하면서, 패턴 매트릭스들을 비교하면서 일치하는지 판별한다.If it is determined that the pattern matrices do not match even though the scan is completed, as shown in FIG. 9, first, the measurement pattern matrix S * T is first divided into 1/2 cell units from the registration pattern matrix X * Y. 1/2) the horizontal and vertical shift scans of the intervals between PDs, comparing the pattern matrices to determine if they match.
스캔 중에 패턴 매트릭스들이 일치하는 것으로 판별되면, 다음 광원 조합에 대한 측정 패턴 매트릭스와 등록 패턴 매트릭스를 셀 단위로 가로 세로 이동 스캔하면서 비교하여 일치 여부를 판별하는 절차가 개시된다.If it is determined that the pattern matrices are matched during the scan, a procedure of comparing the measurement pattern matrix and the registration pattern matrix for the next light source combination by vertically and horizontally scanning the cell is compared to determine whether there is a match.
반면, 스캔이 완료되었음에도, 패턴 매트릭스들이 일치하지 않는 것으로 판별되면, 측정 패턴 매트릭스(S*T)를 등록 패턴 매트릭스(X*Y)에서 1/4 셀 단위(PD들 간 간격의 1/4) 가로 세로 이동 스캔하면서, 패턴 매트릭스들을 비교하면서 일치하는지 판별한다.On the other hand, if it is determined that the pattern matrices do not coincide even after the scan is completed, the measurement pattern matrix S * T is determined in 1/4 cell units (1/4 of the interval between PDs) in the registration pattern matrix X * Y. While scanning horizontally and vertically, the pattern matrices are compared to determine if they match.
그래도, 패턴 매트릭스들이 일치하지 않는 것으로 판별되면, 1/8 셀 단위(PD들 간 간격의 1/8), 1/16 셀 단위(PD들 간 간격의 1/16), 1/32 셀 단위(PD들 간 간격의 1/32), 1/64 셀 단위(PD들 간 간격의 1/64), 1/128 셀 단위(PD들 간 간격의 1/128)로 바꾸어 가면서 가로 세로 이동 스캔을 수행한다.Still, if it is determined that the pattern matrices do not match, 1/8 cell unit (1/8 of the gap between PDs), 1/16 cell unit (1/16 of the gap between PDs), 1/32 cell unit ( Perform horizontal and vertical shift scan while switching to 1/32 of the gap between PDs), 1/64 cell units (1/64 of the gaps between PDs), and 1/128 cell units (1/128 of the gaps between PDs) do.
그럼에도 불구하고, 패턴 매트릭스들이 일치하지 않는 것으로 판별되면, 측정 패턴 매트릭스(S*T)와 등록 패턴 매트릭스(X*Y)는 일치하지 않는 것으로 취급하고, 다음 광원 조합에 대한 측정 패턴 매트릭스와 등록 패턴 매트릭스를 셀 단위로 가로 세로 이동 스캔하면서 비교하여 일치 여부를 판별하는 절차를 개시한다.Nevertheless, if it is determined that the pattern matrices do not match, the measurement pattern matrix S * T and registration pattern matrix X * Y are treated as not matching, and the measurement pattern matrix and registration pattern for the next light source combination A process of determining a match is performed by comparing the matrix by horizontally and vertically scanning the cells.
측정 패턴 매트릭스와 등록 패턴 매트릭스를 비교하여 일치 여부를 판별하는 것은, 패턴 매트릭스들을 신호 처리하여 변조하고, 변조된 패턴 매트릭스들에 대해 수행하는 것이 가능하다.Comparing the measurement pattern matrix and the registration pattern matrix to determine whether they match, it is possible to signal-process and modulate the pattern matrices, and to perform on the modulated pattern matrices.
이를 테면, 도 10에 도시된 바와 같이 측정 패턴 매트릭스의 광 검출 데이터들을 각각 제곱하여 측정 패턴 매트릭스를 변조하고, 도 11에 도시된 바와 같이 등록 패턴 매트릭스의 광 검출 데이터들을 각각 제곱하여 등록 패턴 매트릭스를 변조하는 것이 가능하다.For example, as shown in FIG. 10, the light detection data of the measurement pattern matrix is squared to modulate the measurement pattern matrix, and as shown in FIG. 11, the light detection data of the registration pattern matrix is squared to form a registration pattern matrix. It is possible to modulate.
변조된 패턴 매트릭스들을 이용하여 착용 위치를 보정하는 방법을 도 12 및 도 13에 제시하였는데, 변조되지 않은 패턴 매트릭스들을 이용하여 착용 위치를 보정하는 방법과 동등하므로, 이에 대한 상세한 설명은 생략한다.12 and 13 show a method of correcting a worn position using modulated pattern matrices, which is equivalent to a method of correcting a worn position using unmodulated pattern matrices, and thus a detailed description thereof will be omitted.
패턴 매트릭스들을 변조하면, 광 검출 데이터들 간의 분해능(resolution)이 증가하여, 잡음/오류에 강건한 개인 식별에 기여할 수 있다.Modulating the pattern matrices increases the resolution between photodetection data, which can contribute to noise / error robust personal identification.
한편, 패턴 매트릭스를 구성하는 광 검출 데이터의 변조 방식은 제곱 연산이 아닌 다른 연산으로 수행될 수 있다. 이를 테면, 다음의 수학식에 따라 변조하는 것이 가능하다.On the other hand, the modulation method of the light detection data constituting the pattern matrix may be performed by a calculation other than the square operation. For example, it is possible to modulate according to the following equation.
측정 패턴 매트릭스 : Rab ← wR(a,b)*Rab Measurement pattern matrix: R ab ← w R (a, b) * R ab
등록 패턴 매트릭스 : Dab ← wD(a,b)*Dab Registration pattern matrix: D ab ← w D (a, b) * D ab
이는, 광 검출 데이터의 패턴 매트릭스 상의 위치 (a,b)에 따라 가변하는 가중치를 적용하는 변조 방식이다.This is a modulation scheme in which weights varying according to positions (a, b) on the pattern matrix of the light detection data are applied.
일반적으로, 광 검출 데이터의 변조는 다음의 수학식으로 표현할 수 있다.In general, the modulation of the light detection data can be expressed by the following equation.
측정 패턴 매트릭스 : Rab ← FR(Rab)Measurement pattern matrix: R ab ← F R (R ab )
등록 패턴 매트릭스 : Dab ← FD(Dab)Registration pattern matrix: D ab ← F D (D ab )
도 14는 본 발명의 일 실시예에 따른 MPS 기반 개인인증 시스템의 설명에 제공되는 도면이다. 도 14에 도시된 바와 같이, 본 발명의 실시예에 따른 개인인증 시스템은, 생체정보 등록 장치(100), 생체인식 장치(200), 스마트폰(300) 및 개인인증 서버(400)를 포함한다.14 is a view provided to explain the MPS-based personal authentication system according to an embodiment of the present invention. As shown in FIG. 14, the personal authentication system according to the embodiment of the present invention includes a biometric information registration device 100, a biometric device 200, a smartphone 300, and a personal authentication server 400. .
생체정보 등록 장치(100)는 사용자에 대한 등록 패턴 매트릭스(X*Y)들을 생성하여 개인인증 서버(400)에 등록한다.The biometric information registration device 100 generates registration pattern matrices (X * Y) for the user and registers them in the personal authentication server 400.
생체인식 장치(200)는 사용자에 대한 측정 패턴 매트릭스(S*T)들을 생성하여 스마트폰(300)을 통해 개인인증 서버(400)에 전송한다.The biometric device 200 generates measurement pattern matrices (S * T) for the user and transmits them to the personal authentication server 400 through the smartphone 300.
개인인증 서버(400)는 생체정보 등록 장치(100)에 의해 생성된 등록 패턴 매트릭스(X*Y)들을 변조하여 생체정보(인증정보)로써 DB에 등록하고, 스마트폰(300)을 통해 생체인식 장치(200)로부터 수신한 측정 패턴 매트릭스(S*T)들을 변조한 후 비교하여 일치 여부를 판별하며, 판별 결과들을 이용하여 개인인증을 수행한다. Personal authentication server 400 modulates the registration pattern matrix (X * Y) generated by the biometric information registration device 100 to register in the DB as biometric information (authentication information), biometric recognition through the smartphone 300 The measurement pattern matrixes S * T received from the apparatus 200 are modulated and compared to determine a match, and personal authentication is performed using the determination results.
도 14에 도시된 생체인식 장치(200)는, 도 15에 도시된 바와 같이, 전원(210), LED 어레이(220), PD 어레이(230), LPF & Amp.(240), ADC(250), 제어기(260), 프로세서(270) 및 통신부(280)를 포함한다.As shown in FIG. 15, the biometric device 200 illustrated in FIG. 14 may include a power supply 210, an LED array 220, a PD array 230, an LPF & Amp 240, and an ADC 250. , A controller 260, a processor 270, and a communication unit 280.
전원(210)은 정전압원 또는 정전류원으로 구현하며, LED 어레이(220)의 발광에 필요한 전원을 공급한다.The power supply 210 is implemented as a constant voltage source or a constant current source, and supplies power required for light emission of the LED array 220.
LED 어레이(220)와 PD 어레이(230)에 대해서는 상술한 바 있으므로, 중복을 피하기 위해 여기서의 설명은 생략한다.Since the LED array 220 and the PD array 230 have been described above, a description thereof will be omitted to avoid duplication.
LPF & Amp.(240)는 PD 어레이(230)에 의한 광 검출 결과인 광 전류에서 노이즈 제거를 위한 필터링을 수행하고, 필터링된 광 전류를 증폭하여, ADC(250)에 인가한다.The LPF & 240 performs filtering to remove noise from the photocurrent resulting from the photodetection by the PD array 230, amplifies the filtered photocurrent, and applies it to the ADC 250.
ADC(250)는 LPF & Amp.(240)에서 출력되는 아날로그 광 전류 신호를 디지털 신호로 변환하여, 프로세서(270)에 인가한다.The ADC 250 converts the analog optical current signal output from the LPF & 240 into a digital signal and applies it to the processor 270.
프로세서(270)는 ADC(250)로부터 전달되는 광 전류 신호를 이용하여, 측정 패턴 매트릭스(S*T)들을 생성하고, 생성된 측정 패턴 매트릭스(S*T)들을 통신부(280)를 통해 스마트폰(300)으로 전송한다.The processor 270 generates measurement pattern matrices S * T by using the photocurrent signal transmitted from the ADC 250, and generates the measured pattern matrices S * T through the communication unit 280 through the smartphone. Send to 300.
제어기(260)는 LED 어레이(220)의 선별적인 구동 및 세기를 제어하고, PD 어레이(230)의 선별적인 구동을 제어한다. 즉, 제어기(260)는 LED 어레이(220)를 구성하는 LED들 중 일부만 동작하도록 제어한다.The controller 260 controls the selective driving and intensity of the LED array 220 and the selective driving of the PD array 230. That is, the controller 260 controls only some of the LEDs constituting the LED array 220 to operate.
그리고, 제어기(260)는 LPF & Amp.(240)의 차단 주파수를 설정하고, 게인을 제어한다. 프로세서(270)는 제어기(260)에 편입될 수 있다.The controller 260 sets the cutoff frequency of the LPF & 240 and controls the gain. Processor 270 may be incorporated into controller 260.
생체정보 등록 장치(100)는 도 15에 도시된 생체인식 장치(200)와 거의 동일하게 구현 가능하므로, 이에 대한 상세한 설명은 생략한다.Since the biometric information registration device 100 may be implemented in almost the same manner as the biometric device 200 shown in FIG. 15, a detailed description thereof will be omitted.
위 실시예에서, 등록 패턴 매트릭스(X*Y)와 측정 패턴 매트릭스(S*T)의 변조는 개인인증 서버(400)에 의해 수행되는 것을 상정하였으나, 예시적인 것에 불과하다.In the above embodiment, it is assumed that the modulation of the registration pattern matrix X * Y and the measurement pattern matrix S * T is performed by the personal authentication server 400, but it is merely exemplary.
개인인증 서버(400)가 아닌, 생체정보 등록 장치(100)에 의해 등록 패턴 매트릭스(X*Y)의 변조가 수행되고, 생체인식 장치(200)에 의해 측정 패턴 매트릭스(S*T)의 변조가 수행되도록, 구현하는 것이 가능하다.Modulation of the registration pattern matrix X * Y is performed by the biometric information registration device 100, not the personal authentication server 400, and modulation of the measurement pattern matrix S * T by the biometric device 200. It is possible to implement so that is performed.
도 16은 생체인식 장치(200)의 다른 예를 제시한 도면이다. 도 16에 도시된 생체인식 장치(100)는 통신부(280)를 포함하지 않고, DB(290)를 포함한다는 점에서, 도 15에 도시된 생체인식 장치(200)와 차이가 있다.16 is a diagram illustrating another example of the biometric device 200. The biometric device 100 shown in FIG. 16 differs from the biometric device 200 shown in FIG. 15 in that it does not include the communication unit 280 but includes the DB 290.
DB(290)에는 변조된 등록 패턴 매트릭스(X*Y)들이 저장되어 있다.The DB 290 stores the modulated registration pattern matrix X * Y.
도 16에 도시된 생체인식 장치(200)의 프로세서(270)는 ADC(250)로부터 전달되는 광 전류 신호를 이용하여, 측정 패턴 매트릭스(S*T)들을 생성하고, 생성된 측정 패턴 매트릭스(S*T)들을 변조하며, 변조된 측정 패턴 매트릭스(S*T)들을 DB(280)에 저장된 변조된 등록 패턴 매트릭스(X*Y)들과 비교하여 일치 여부를 판별하여, 판별 결과들을 이용하여 개인인증을 수행한다.The processor 270 of the biometric device 200 shown in FIG. 16 generates the measurement pattern matrices S * T by using the optical current signal transmitted from the ADC 250 and generates the generated measurement pattern matrices S. Modulate * T), compare the modulated measurement pattern matrix (S * T) with the modulated registration pattern matrix (X * Y) stored in the DB 280 to determine a match, and use the discrimination results to determine Perform authentication.
이상에서는 본 발명의 바람직한 실시예에 대하여 도시하고 설명하였지만, 본 발명은 상술한 특정의 실시예에 한정되지 아니하며, 청구범위에서 청구하는 본 발명의 요지를 벗어남이 없이 당해 발명이 속하는 기술분야에서 통상의 지식을 가진자에 의해 다양한 변형실시가 가능한 것은 물론이고, 이러한 변형실시들은 본 발명의 기술적 사상이나 전망으로부터 개별적으로 이해되어져서는 안될 것이다.While the above has been shown and described with respect to preferred embodiments of the present invention, the present invention is not limited to the specific embodiments described above, it is usually in the technical field to which the invention belongs without departing from the spirit of the invention claimed in the claims. Various modifications can be made by those skilled in the art, and these modifications should not be individually understood from the technical spirit or the prospect of the present invention.

Claims (12)

  1. 사용자의 손목에 광을 조사하는 단계;Irradiating light on the wrist of the user;
    제1 사이즈의 검출기 어레이로 손목을 확산반사한 광을 검출하여, 광 검출 패턴을 등록하는 단계;Detecting light diffused by the wrist with a detector array of a first size, and registering the light detection pattern;
    사용자의 손목에 광을 조사하는 단계;Irradiating light on the wrist of the user;
    제2 사이즈의 검출기 어레이로 손목을 확산반사한 광을 검출하여, 광 검출 패턴을 측정하는 단계;Detecting light diffused by the wrist with a detector array of a second size to measure a light detection pattern;
    측정된 광 검출 패턴을 변조하는 제1 변조단계;A first modulating step of modulating the measured light detection pattern;
    등록된 광 검출 패턴을 변조하는 제2 변조단계;A second modulation step of modulating the registered light detection pattern;
    제1 변조단계에서 변조된 측정된 광 검출 패턴과 제2 변조단계에서 변조된 등록된 광 검출 패턴을 비교하는 단계; 및Comparing the measured light detection pattern modulated in the first modulation step with the registered light detection pattern modulated in the second modulation step; And
    비교 결과를 이용하여, 사용자를 식별하는 단계;를 포함하는 것을 특징으로 하는 생체인식 방법.And identifying a user using the comparison result.
  2. 청구항 1에 있어서,The method according to claim 1,
    제1 변조 단계는,The first modulation step is
    측정된 광 검출 패턴을 구성하는 광 검출 데이터들을 각각 제곱하여 변조하고,Squared and modulated photodetection data constituting the measured photodetection pattern,
    제2 변조 단계는,The second modulation step is
    등록된 광 검출 패턴을 구성하는 광 검출 데이터들을 각각 제곱하여 변조하는 것을 특징으로 하는 생체인식 방법.A biometric method according to claim 1, wherein the photodetection data constituting the registered photodetection pattern is squared and modulated.
  3. 청구항 1에 있어서,The method according to claim 1,
    제1 변조 단계는,The first modulation step is
    측정된 광 검출 패턴을 구성하는 광 검출 데이터들을 측정된 광 검출 패턴 상에서의 좌표에 따라 가변되는 가중치를 적용하여 변조하고,Modulating the photodetection data constituting the measured photodetection pattern by applying a weight that varies according to the coordinates on the measured photodetection pattern,
    제2 변조 단계는,The second modulation step is
    등록된 광 검출 패턴을 구성하는 광 검출 데이터들을 등록된 광 검출 패턴 상에서의 좌표에 따라 가변되는 가중치를 적용하여 변조하는 것을 특징으로 하는 생체인식 방법.A biometric method comprising modulating the photodetection data constituting the registered photodetection pattern by applying a weight that varies according to the coordinates on the registered photodetection pattern.
  4. 청구항 1에 있어서,The method according to claim 1,
    제1 사이즈의 검출기 어레이는,The detector array of the first size is
    X*Y 매트릭스 형태의 검출기들이고,Detectors in the form of X * Y matrix,
    제2 사이즈의 검출기 어레이는,The detector array of the second size is
    S*T 매트릭스 형태의 검출기들이며, Detectors in the form of S * T matrix,
    X>S이고 Y>T이고,X> S and Y> T,
    X*Y 패턴 매트릭스와 S*T 패턴 매트릭스의 셀 중심 간 간격은,The spacing between the cell centers of the X * Y pattern matrix and the S * T pattern matrix is
    검출기들 간 간격인 것을 특징으로 하는 생체인식 방법.Biometric method characterized in that the interval between the detectors.
  5. 청구항 4에 있어서,The method according to claim 4,
    등록된 광 검출 패턴은,The registered light detection pattern is
    광 검출 데이터들이 나열된 X*Y 패턴 매트릭스이고,The light detection data is an X * Y pattern matrix,
    측정된 광 검출 패턴은,The measured light detection pattern is
    광 검출 데이터들이 나열된 S*T 패턴 매트릭스인 것을 특징으로 하는 생체인식 방법.A biometric method according to claim 1, wherein the light detection data is an S * T pattern matrix.
  6. 청구항 5에 있어서,The method according to claim 5,
    비교단계는,The comparison step is
    S*T 패턴 매트릭스를 X*Y 패턴 매트릭스에서 셀 단위로 가로 세로 스캔하면서, S*T 패턴 매트릭스와 X*Y 패턴 매트릭스를 비교하는 것을 특징으로 하는 생체인식 방법.A biometric method comprising comparing an S * T pattern matrix with an X * Y pattern matrix while scanning the S * T pattern matrix horizontally and vertically from the X * Y pattern matrix.
  7. 청구항 6에 있어서,The method according to claim 6,
    비교단계는,The comparison step is
    S*T 패턴 매트릭스와 X*Y 패턴 매트릭스가 일치하지 않는 것으로 판별되면, S*T 패턴 매트릭스를 X*Y 패턴 매트릭스에서 1/n 셀 단위로 가로 세로 스캔하면서, S*T 패턴 매트릭스와 X*Y 패턴 매트릭스를 비교하는 것을 특징으로 하는 생체인식 방법.If it is determined that the S * T pattern matrix and the X * Y pattern matrix do not match, the S * T pattern matrix and X * are scanned horizontally and vertically in 1 / n cell units from the X * Y pattern matrix. A biometric method comprising comparing the Y pattern matrix.
  8. 청구항 7에 있어서,The method according to claim 7,
    비교단계는,The comparison step is
    S*T 패턴 매트릭스와 X*Y 패턴 매트릭스가 일치한다고 판별될 때까지, n을 증가시면서 가로 세로 스캔을 수행하는 것을 특징으로 하는 생체인식 방법.A biometric method comprising performing a horizontal and vertical scan while increasing n until it is determined that the S * T pattern matrix and the X * Y pattern matrix match.
  9. 청구항 8에 있어서,The method according to claim 8,
    비교단계는,The comparison step is
    n이 k가 되면, S*T 패턴 매트릭스와 X*Y 패턴 매트릭스가 불일치한다고 판별하는 것을 특징으로 하는 생체인식 방법.and when n becomes k, the S * T pattern matrix and the X * Y pattern matrix are discriminated from each other.
  10. 사용자의 손목에 광을 조사하고, 제1 사이즈의 검출기 어레이로 손목을 확산반사한 광들을 검출하여, 광 검출 패턴을 하기 서버에 등록하는 생체정보 등록 장치;A biometric information registration device that irradiates light on a wrist of a user, detects light diffused on the wrist with a detector array of a first size, and registers a light detection pattern in a server below;
    사용자의 손목에 광을 조사하고, 제2 사이즈의 검출기 어레이로 손목을 확산반사한 광들을 검출하여, 광 검출 패턴을 측정하는 생체인식 장치; 및A biometric device for irradiating light onto a wrist of a user and detecting light diffused and reflected on the wrist with a detector array of a second size to measure a light detection pattern; And
    생체인식 장치에서 측정된 광 검출 패턴을 변조하고, 등록된 광 검출 패턴을 변조하며, 변조된 측정된 광 검출 패턴과 변조된 등록된 광 검출 패턴을 비교하고, 비교 결과를 이용하여 사용자를 식별하는 서버;를 포함하는 것을 특징으로 하는 개인인증 시스템.Modulating the light detection pattern measured in the biometric device, modulating the registered light detection pattern, comparing the modulated measured light detection pattern with the modulated registered light detection pattern, and using the comparison result to identify the user. Personal authentication system comprising a; server.
  11. 사용자의 손목에 광을 조사하는 광원 어레이;A light source array for irradiating light to a wrist of a user;
    손목을 확산반사한 광들을 검출하는 제1 사이즈의 검출기 어레이; 및A detector array of a first size for detecting diffusely reflected light of a wrist; And
    제1 사이즈의 검출기 어레이에서의 검출 결과를 이용하여 광 검출 패턴을 생성하여 서버로 전송하여 등록하는 프로세서;를 포함하고,And a processor configured to generate, transmit, and register a light detection pattern using a detection result of the detector array of the first size to a server.
    서버는,The server,
    사용자의 손목에 광을 조사하고, 제2 사이즈의 검출기 어레이로 손목을 확산반사한 광들을 검출하여, 측정된 광 검출 패턴을 수신하고,Irradiating light onto the wrist of the user, detecting the light diffused and reflected on the wrist with a detector array of a second size, and receiving the measured light detection pattern,
    수신된 측정된 광 검출 패턴과 등록된 광 검출 패턴을 변조하고, 변조된 측정된 광 검출 패턴과 변조된 등록된 광 검출 패턴을 비교하며, 비교 결과를 이용하여 사용자를 식별하는 것을 특징으로 하는 생체정보 등록 장치.Modulate the received measured light detection pattern with the registered light detection pattern, compare the modulated measured light detection pattern with the modulated registered light detection pattern, and identify the user using the comparison result Information registration device.
  12. 사용자의 손목에 광을 조사하는 광원 어레이;A light source array for irradiating light to a wrist of a user;
    손목을 확산반사한 광들을 검출하는 제2 사이즈의 검출기 어레이; 및A detector array of a second size for detecting diffusely reflected light of the wrist; And
    제2 사이즈의 검출기 어레이에서의 검출 결과를 이용하여 광 검출 패턴을 측정하여 서버로 전송하는 프로세서;를 포함하고,And a processor configured to measure and transmit a light detection pattern to a server by using the detection result of the detector array of the second size.
    서버는,The server,
    사용자의 손목에 광을 조사하고, 제1 사이즈의 검출기 어레이로 손목을 확산반사한 광들을 검출하여 측정된 광 검출 패턴을 등록하고,Irradiating light onto the user's wrist, detecting the light diffused and reflected on the wrist with a detector array of a first size, and registering the measured light detection pattern,
    수신된 측정된 광 검출 패턴과 등록된 광 검출 패턴을 변조하고, 변조된 측정된 광 검출 패턴과 변조된 등록된 광 검출 패턴을 비교하며, 비교 결과를 이용하여 사용자를 식별하는 것을 특징으로 하는 생체인식 장치.Modulate the received measured light detection pattern with the registered light detection pattern, compare the modulated measured light detection pattern with the modulated registered light detection pattern, and identify the user using the comparison result Recognition device.
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