• Journal of the Korean Society of Safety
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• v.13 no.4
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• pp.256-263
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• 1998

In this paper, we propose a volume holographic fingerprint recognition system based on optical correlator for personal identification. Optical correlator has high speed and parallel processing characteristics of optics. Matched filters are recorded into a volume hologram that can store data with high density, transfer them with high speed, and select a randomly chosen data element. The multiple reference images of database are prerecorded in a photorefractive crystal in the form of Fourier transform images, simply by passing the image displayed in a spatial light modulator through a Fourier transform lens. The angular multiplexing method for multiple holograms of database can be achieved by rotating the crystal by use of a step motor. Experimental results show that the proposed system can be used for the security verification system.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.460-462
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• 2002

본 논문은 융선 방향의 화소값 변화와 융선의 수직 방향 화소값 변화의 차이를 이용하여 지문영상의 부영역 화질을 제거대상 영역(Removable Block)과 융선의 흐름이 불명확한 영역(Obscure Block), 융선의 방향성이 명확한 영역(Clear Block) 세 가지로 분류하였다. RB영역은 특징점 추출과정에서 제외 하였으며 OB 영역은 필터의 방향을 달리한 다수의 게이버(Gabor) 필터의 적용으로 처리하였고, CB 영역은 게이버 필터의 방향을 융선의 방향으로 하여 한번의 수행하였다. FVC2002(The Second Fingerprint Verification Competition) DB3 SetA 지문필터링을 영상을 대상으로 한 실험에서 부영역의 화질을 고려한 경우 EER(Equal Error Rate)이 14.31%의 처리속도 향상을 확인할 수 있었다.

• Journal of the Korean Society of Safety
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• v.11 no.2
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• pp.143-149
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• 1996

We propose an Opto-Digital hybrid fingerprint Identification system based on the binary phase extraction joint transform correlator(BPEJTC) for validation and security yerification. It is shown that since the BPEJTC provides higher peak-to-sidelobe ratio than that of the conventional JTC and does not cause correlation peaks due to intra-class association, this system is well-adaptive to the multiple object environments. Experimental results show that this system has a good performance in the presence of multiple images and the variations of the same person.

• The KIPS Transactions:PartB
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• v.11B no.6
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• pp.645-652
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• 2004

Among the biometrics, signature shows more larger variation than the other biometrics such as fingerprint and iris. In order to overcome this problem, we propose a robust offline signature verification method based on PCA and LDA. Signature is projected to vertical and horizontal axes by new grid partition method. And then feature extraction and decision is performed by PCA and LDA. Experimental results show that the proposed offline signature verification has lower False Reject Rate(FRR) and False Acceptance Rate(FAR) which are 1.45% and 2.1%, respectively.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05d
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• pp.585-589
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• 2002

본 논문은 주민등록증의 정보와 본인 생체 지문으로 본인임을 확인하는 알고리즘을 제안한다. 기존의 본인 확인 방법은 주민등록증의 사진과 실물사진을 육안으로 판별한다. 이러한 판별 방법의 문제점은 주민등록증 발급 시의 사진과 현재의 본인 얼굴과의 차이점이 많을 때 본인임에도 판별이 불가능한 경우도 발생하고 주민등록중의 훼손으로 판별이 불가능할 수 가 있다. 이러한 단점을 본 알고리즘에서는 생체인식기술인 지문인식과 문자인식기술을 접목하여 주민등록상의 지문이미지와 지문입력기에서 입력받은 생체지문을 비교판별하고 주민등록증 발급 시 입력한 지문과도 비교 판별함으로써 보다 확실한 본인 확인방법을 제공한다.

• Proceedings of the IEEK Conference
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• 2001.06d
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• pp.9-12
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• 2001

Point pattern matching schemes for finger print recognition do not guarantee robust matching performance for finger print images of poor quality. We present a finger print recognition scheme, where transformation parameter of matched ridge pairs are estimated by Hough transform and the matching hypothesis is verified by a new measure of the matching degree using selective directional information. Proposed method may exhibit extremely low FAR(False Accept Ratio) while maintaining low reject ratio even for the images of poor quality because of the robustness to the variation of minutia points.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.3
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• pp.247-254
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• 2006

Biometrics are getting more and more attention in recent years for security and other concerns. So far, only fingerprint recognition has seen limited success for on-line security check, since other biometrics verification and identification systems require more complicated and expensive acquisition interfaces and recognition processes. Hand-Geometry can be used for biometric verification and identification because of its acquisition convenience and good performance for verification and identification performance. It could also be a good candidate for online checks. Therefore, this paper proposes a Hand-Geometry recognition system based on geometrical features of hand. From anatomical point of view, human hand can be characterized by its length, width, thickness, geometrical composition, shapes of the palm, and shape and geometry of the fingers. This paper proposes thirty relevant features for a Hand-Geometry recognition system. This system presents verification results based on hand measurements of 20 individuals. The verification process has been tested on a size of $320{\times}240$ image, and result of the verification process have hit rate of 95% and FAR of 0.020.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.506-509
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• 2010

본 논문에서는 지문과 얼굴정보를 이용한 다중 바이오인식 기술(Multi-modal Biometric Technology)을 이용한 운전면허학원 근태관리 시스템 구현에 대해 논한다. 지문인식은 Neurotechnology사의 Free Fingerprint Verification SDK를 사용하였으며, 얼굴인식은 얼굴검출 단계에 Adaboost, 특징추출 단계에 Gabor Wavelet Transform을 이용하였다. 마지막 단계인 인식단계는 두 특징벡터 간의 유클리디언 거리를 이용한다. 두 바이오정보를 통한 인증(Verification)의 결정여부는 AND규칙을 이용하여 두 가지의 바이오정보 인증과정을 모두 통과하여야만 최종 인증확인이 되도록 구현하였다. 성능테스트는 10명의 적은 테스트 집합을 이용하였으며 지문과 얼굴정보를 각각 이용하였을 때보다 두 정보를 결합하였을 때 더 나은 인식률을 보였다.

• Journal of Internet Computing and Services
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• v.21 no.4
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• pp.17-23
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• 2020

Biometric information indicating measurement items related to human characteristics has attracted great attention as security technology with high reliability since there is no fear of theft or loss. Among these biometric information, fingerprints are mainly used in fields such as identity verification and identification. If there is a problem such as a wound, wrinkle, or moisture that is difficult to authenticate to the fingerprint image when identifying the identity, the fingerprint expert can identify the problem with the fingerprint directly through the preprocessing step, and apply the image processing algorithm appropriate to the problem. Solve the problem. In this case, by implementing artificial intelligence software that distinguishes fingerprint images with cuts and wrinkles on the fingerprint, it is easy to check whether there are cuts or wrinkles, and by selecting an appropriate algorithm, the fingerprint image can be easily improved. In this study, we developed a total of 17,080 fingerprint databases by acquiring all finger prints of 1,010 students from the Royal University of Cambodia, 600 Sokoto open data sets, and 98 Korean students. In order to determine if there are any injuries or wrinkles in the built database, criteria were established, and the data were validated by experts. The training and test datasets consisted of Cambodian data and Sokoto data, and the ratio was set to 8: 2. The data of 98 Korean students were set up as a validation data set. Using the constructed data set, five CNN-based architectures such as Classic CNN, AlexNet, VGG-16, Resnet50, and Yolo v3 were implemented. A study was conducted to find the model that performed best on the readings. Among the five architectures, ResNet50 showed the best performance with 81.51%.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.4
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• pp.521-526
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• 2015

Research on how to use the biological characteristics of human to confirm the identity of the individual is being actively conducted. Electrocardiogram(: ECG) based biometric system is difficult to counterfeit and does not cause skin irritation on the subject. It can be easily combined with conventional biometrics such as fingerprint and face recognition to give multimodal biometric systems. In this thesis, biometric identification method analysing ECG waveform characteristics from Discrete Wavelet Transform(DWT) coefficients is suggested. Feature selection is performed on the 9 coefficients of DWT using the correlation analysis. The verification is achieved by using the error back propagation neural networks. Using the proposed approach on 24 subjects of MIT-BIH QT Database, 98.88% verification rate has been obtained.