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http://dx.doi.org/10.3745/KIPSTB.2004.11B.7.885

Multi-modal Biometrics System Based on Face and Signature by SVM Decision Rule  

Min Jun-Oh ((주)아이디테크연구원)
Lee Dae-Jong (충북대학교 컴퓨터정보통신연구소)
Chun Myung-Geun (충북대학교 전기전자 및 컴퓨터공학부)
Abstract
In this paper, we propose a multi-modal biometrics system based on face and signature recognition system. Here, the face recognition system is designed by fuzzy LDA, and the signature recognition system is implemented with the LDA and segment matching methods. To effectively aggregate two systems, we obtain statistical distribution models based on matching values for genuine and impostor, respectively. And then, the final verification is Performed by the support vector machine. From the various experiments, we find that the proposed method shows high recognition rates comparing with the conventional methods.
Keywords
Multi-modal Biometrics Recognition; SVM; Face Recognition; Signature Recognition; Biometrics Recognition;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Viswanathan, R., Varshney, P. K., 'Distributed detection with multiple sensors I. Fundamentals,' IEEE Proc., Vol.85, pp.54-63, 1997   DOI   ScienceOn
2 Kaewkongka T., Chamnongthai K., Thipakorn, B., 'Off-line Signature Recognition Rsing Parameterized Hough Transform,' ISSPA'99, Proceedings of the Fifth International Sympo., Signal Processing and Its Applications, Vol.1, pp.451-454, 1999   DOI
3 곽근창, 고현주, 전명근, '퍼지 소속도를 갖는 Fisherface 방법을 이용한 얼굴인식', 정보과학회 논문지 : 소프트웨어 및 응용, Vol.31, No.6, pp.784-791, 2004   과학기술학회마을
4 Z. Jin, J. Y. Yang, Z. S. Hu, Z. Lou, 'Face recognition based on the uncorrelated discriminant transformation,' Pattern Recognition, Vol.34, pp.1405-1416, 2001   DOI   ScienceOn
5 Pavlidis I., Mavuduru R., Papanikolopoulos N., 'Off-line Recognition of Signatures Using Revolving Active Deformable Models,' IEEE Conf., Humans, Information and Technology, Vol.1, pp.771-776, 1994   DOI
6 C. Liu, H. Wechsler, 'Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition,' IEEE Trans., Image Processing, Vol.11, No.4, pp.467-476, 2002   DOI   ScienceOn
7 H. C. Kim, D. Kim, S. Y. Bang, 'Face recognition using the mixture-of-eigenface method,' Pattern Recognition Letters, Vol.23, pp.1549-1558, 2002   DOI   ScienceOn
8 K. I. Kim, K. Jung, H. J Kim, 'Face recognition using kernel principal component analysis,' IEEE Signal Processing Letters, Vol.9, No.2, pp.40-42, 2002   DOI   ScienceOn
9 전명근, 생체인식(Biometric)총론, 한국정보통신교육원, 2002
10 Sung-Bae Cho, Jin H. Kim, 'Multiple Network Fusion Using Fuzzy Logic,' IEEE Trans., Neural networks, Vol.6, No.2, 1995   DOI   ScienceOn
11 Lin Hong, Anil Jain, 'Integrating Faces and Fingerprints for Personal Identification,' IEEE Trans., Pattern analysis and machine intelligence, Vol.20, No.12, 1998   DOI   ScienceOn
12 Sang-Yeun Ryu, Dae-Jong Lee, Myung-Geun Chun, 'A Robust On-line Signature Verification System,' International Journal of Fuzzy Logic and Intelligent Systems, Vol.3, No.1, pp.27-31, 2003   DOI   ScienceOn
13 Ma Mingrning, Wijesoma W. S., Sung E., 'An automatic on-line signature verification system based on three models,' 2000 Canadian Conf., Electrical and Computer Engineering, Vo1.2, pp.890-894, 2000   DOI
14 Richard O.duda, Peter E.Hart, David G.Stork, Pattern Classification, Second Edition, Wiley&Sons, Inc., 2001
15 Arun Ross, Anil Jain, 'Information fusion in biometrics,' Pattern Recognition Letters, Vol.24, pp.2115-2125, 2003   DOI   ScienceOn
16 Krzysztofowicz, R., Long, D., 'Fusion of detection probabilities and comparison of multi sensor systems,' IEEE Trans., Systems, Man and Cybernetics, Vol.20, pp. 665-677, 1990   DOI   ScienceOn
17 Vapnik, V., The Nature of Statistical Learning Theory, Springer, 1995