A Novel Approach of Finger Print Recognition Using (Ridge) Minutia Method and Multilayer Neural Network Classifier

Devendra Singh Kaushal, Yunus Khan, Sunita Varma

Abstract


Finger print recognition has always been a challenging field for the researchers. Fingerprint recognition is a biometric identification technology that distinguishing whether two fingerprints are the same fingerprint. There has been an astounding progress in the development of the systems for finger print recognition. Finger print recognition is the process of identification and classification of finger print using some classification and feature extraction method.

Keywords


Multi-Layer neural network, Feature extraction, Ridge

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References


L. Hong, Y. Wan, and A. K. Jain, “Fingerprint image enhancement: Algorithms and performance evaluation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20(8), 1988, pp. 777–789.

M. K. Khan, “Fingerprint Biometric-based Self Authentication and Deniable Authentication Schemes for the Electronic World”, IETE Technical Review, Volume 26, Issue 3, 2009.

A. K. Jain, L. Hong, and R. Bolle, “On-line fingerprint verification”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(4), 1997, pp. 302–314.

A. K. Jain, L. Hong, S. Pankanti, and R. Bolle, “ An identity authentication system using fingerprints”. Proc. IEEE, 85(9), 1997, pp.1365–1388.




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Copyright (c) 2014 Devendra Singh Kaushal, Yunus Khan, Sunita Varma

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