The week's pick
Reseach Article
Retina and Fingerprint based Biometric Identification System
| Mobile and Embedded Technology International Conference 2013 |
| Foundation of Computer Science USA |
| MECON - Number 1 |
| February 2013 |
| Authors: Tripti Rani Borah, Kandarpa Kumar Sarma, Pran Hari Talukdar |
| 6881d6b4-f05f-4480-bcdc-b3394911bdf6 |
Tripti Rani Borah, Kandarpa Kumar Sarma, Pran Hari Talukdar . Retina and Fingerprint based Biometric Identification System. Mobile and Embedded Technology International Conference 2013. MECON, 1 (February 2013), 74-77.
Abstract
Artificial Neural Network(ANN)s are efficient means of prediction, optimization and recognition. Retina is an unique biometric pattern that can be used as part of a verification system. An ANN can be configured and trained to handle such variations observed in the texture of the fingerprint and retina. Fingerprint recognition is one such area that can be used as a means of biometric verification where the ANN can play a critical rule. 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 and fingerprint images and that way provides the insights for developing a system which require these samples for verification and authorization. A system designed to provide authentication decision using these two inputs can be a reliable means of verification. Such a system designed using ANN and using retina and fingerprint inputs is described here. Experimental results show that the system is reliable enough for considering it as a part of a verification mechanism.
References
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