"FINGERPRINT RECOGNITION USING ARTIFICIAL NEURAL NETWORK" by TRIPTI RANI BORAH, Kandarpa Kumar Sarma et al.

Home > IJESS > Vol. 3 > Iss. 1 (2013)

International Journal of Electronics Signals and Systems

Article Title

FINGERPRINT RECOGNITION USING ARTIFICIAL NEURAL NETWORK

Authors

TRIPTI RANI BORAH, Department of Computer Science, Gauhati University, Guwahati, Assam, India,Follow
Kandarpa Kumar Sarma, Department of Electronics and Communication Technology, Gauhati University, Guwahati, Assam-781014Follow
PRAN HARI TALUKDAR, Department of Instrumentation & USIC, Gauhati University, Guwahati, Assam, India,Follow

Abstract

Artificial Neural Network are different means of prediction, optimization and recognition. The ability of the ANN to learn given patterns makes them suitable for such applications. Fingerprint recognition is one such area that can be used as a means of biometric verification where the ANN can play a critical rule. An ANN can be configured and trained to handle such variations observed in the texture of the fingerprint. The specialty of the work is associated with the fact that if the ANN is configured properly it can tackle the variations in the fingerprint images and that way provides the insights for developing a system which requires these samples for verification and authorization. A system is designed to provide authentication decision using the fingerprint inputs can be a reliable means of verification. Such a system designed using ANN and using fingerprint inputs is described here. Experimental results show that the system is reliable enough for considering it as a part of a verification mechanism.

Recommended Citation

BORAH, TRIPTI RANI; Sarma, Kandarpa Kumar; and TALUKDAR, PRAN HARI (2013) "FINGERPRINT RECOGNITION USING ARTIFICIAL NEURAL NETWORK," International Journal of Electronics Signals and Systems: Vol. 3 : Iss. 1 , Article 14.
Available at: https://www.interscience.in/ijess/vol3/iss1/14

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