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  1. Journal of Applied Sciences
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  3. 611-618
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Journal of Applied Sciences

Year: 2004 | Volume: 4 | Issue: 4 | Page No.: 611-618
DOI: 10.3923/jas.2004.611.618
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Research Article

Multi-matcher Based Fingerprint Identification System

Nasir Rehan and Khalid Rashid

ABSTRACT


Fingerprint identification system being the most developed and emphasized among the various practically employed biometric systems, has yet to make a long journey to prove its effectiveness in terms of speed and accuracy. Of various options for increasing systems efficiency, one may be the combination or fusion of various contemporary fingerprint identification systems. This study reveals the possibility for introducing a fingerprint identification system based on different fingerprint matching systems, working in close collaboration. Two different fingerprint representation schemes are evaluated and a merger point for the two is suggested.
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How to cite this article

Nasir Rehan and Khalid Rashid, 2004. Multi-matcher Based Fingerprint Identification System. Journal of Applied Sciences, 4: 611-618.

DOI: 10.3923/jas.2004.611.618

URL: https://scialert.net/abstract/?doi=jas.2004.611.618

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REFERENCES


  1. Jain, A.K., L. Hong, S. Pankanti and R. Bolle, 1997. An identity-authentication system using fingerprints. Proc. IEEE, 85: 1365-1388.

  2. Kawagoe, M. and A. Tojo, 1984. Fingerprint pattern classification. Pattern Recognit., 17: 295-303.

  3. Anil, J. and F. Farrokhnia, 1991. Unsupervised texture segmentation using gabor filters. Pattern Recognit., 24: 1167-1186.

  4. Daugman, J., 1993. High confidence recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Machine Int., 15: 1148-1161.

  5. Hong, L. and A.K. Jain, 1999. Classification of fingerprint images. Proceedings of the 11th Scandinavian Conference on Image Analysis Kangerlussuaq, Greenland. Jun. 7-11. http://eprints.kfupm.edu.sa/29806/.

  6. Klette, R. and P. Zamperoni, 1995. Hand Book of Image Processing Operators. 1st Edn., John Wiley and Sons, New York.

  7. Anthony, L., 1999. Fingerprint Recognition. University of Queensland, Australia.

  8. Kasaei, K., M. Deriche and B. Boashash, 1997. Fingerprint feature enhancement using block-direction on reconstructed images. Proceedings of the International Conference on Information Communications and Signal Processing, (ICICS'97), Singapore, pp: 721-725.

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