International Journal of Electronics Signals and Systems IJESS
ISSN: 2231-5969
Abstracting and Indexing
IJESS
ARTIFICIAL NEURAL NETWORK AIDED RETINA BASED BIOMETRIC IDENTIFICATION SYSTEM
TRIPTI RANI BORAH
Department of Computer Science, Gauhati University, Guwahati, Assam, India,,
KANDARPA KUMAR SARMA
Department of Electronics and Communication Technology, Gauhati University, Guwahati, Assam-781014,
PRAN HARI TALUKDAR
Department of Instrumentation & USIC, Gauhati University, Guwahati, Assam, India,,
Abstract
Artificial Neural Network (ANN)s are efficient means of prediction, optimization and recognition. Retina is a unique biometric pattern that can be used as a part of a verification system. An ANN can be configured and trained to handle such variations observed in the texture of the retina. The specialty of the work is associated with the fact that if the ANN is configured properly it can tackle the variations in the retinal images and that way provides the insights for developing a system which requires the samples for verification and authorization. A system designed to provide authentication decision using the input can be a reliable means of verification. Such a system designed using ANN and using retina input 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 (2014) "ARTIFICIAL
NEURAL NETWORK AIDED RETINA BASED BIOMETRIC IDENTIFICATION SYSTEM,"