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Fingerprint Matching Method using Statistical Methods  

Kim, Yong Gil (조선이공대학교 컴퓨터보안과)
Park, Jong Mn (조선이공대학교 컴퓨터보안과)
Publication Information
Smart Media Journal / v.3, no.3, 2014 , pp. 15-19 More about this Journal
Abstract
Fingerprint Recognition System is made up of Off-line treatment and On-line treatment; the one is registering all the information of there trier features which are retrieved in the digitalized fingerprint getting out of the analog fingerprint through the fingerprint acquisition device and the other is the treatment making the decision whether the users are approved to be accessed to the system or not with matching them with the fingerprint features which are retrieved and database from the input fingerprint when the users are approaching the system to use. In this paper, Among various biometrics recognition systems, statistical fingerprint recognition matching methods are considered using minutiae on fingerprints. We define similarity distance measures based on the coordinate and angle of the minutiae, and suggest a fingerprint recognition model following statistical distributions.
Keywords
Fingerprint; minutiae; FAR; FRR;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Gollmann, Dieter. Computer Security. John Wiley and Sons, August 1999.
2 R. Cappelli, D. Maltoni, Wayman, J. L. and Jain, A. K. Performance evaluation of fingerprint verification system, IEEE Transactionson. Pattern Analysis and Machine Intelligence, Vol.28, pp3-18, 2006.   DOI   ScienceOn
3 A. Farina, Z. M. Kovacs- vajna, Alverto Leone, "Fingerprint minutiae extraction from slceletonixed binary images", Pattern Recognition, vol. 32, no. 4, pp. 877-889, 1999.   DOI
4 L. Coetzee and E. C. Botha, "Fingerprint Recognition in Low Quality Images," Pattern Recognition, vol. 26, no. 10, pp. 1441-1460, 1993.   DOI   ScienceOn
5 D. Mario and D. Maltoni, "Direct Gray-Scale Minutiae Detection In Fingerprints," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 1, pp. 27- 40, 1997.   DOI   ScienceOn
6 X. Jiang, W. Y. Yau, and W. Ser, "Detecting the Fingerprint minutiae by adaptive tracing the gray-level ridge," Pattern Recognition 34, pp. 999-1013, 2000.
7 박종민, 조범준, "결합과 분배를 이용한 정합 알고리즘", 한국해양정보통신학회 논문지 제8권 제5호, pp. 1102-1107, 2004.
8 Hong, C. S. and Joo, J. S. Optimal thresholds from non-normal mixture, The Korean Journal of Applied Statistics, Vol.23, pp943-953, 2010.   DOI   ScienceOn
9 Hong, C. S. Kim, G. C. and Jeong, J. A. Bivariate ROC curve, The Korean Journal of Applied Statistics, Vol.19, pp277-286, 2012.
10 Krzanowski, W. J. and Hand, D. J. ROC Curves for Continuous Data, Chapman & Hall/CRC, Boca Raton, Florida. Has Been Selected, Clinical Chemistry, Vol.32, pp1341-1346, 2009.