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An efficient technique for human verification using finger stripes geometry

Rahman, Md. Arafatur and Azad, Md. Saiful and Anwar, Farhat (2007) An efficient technique for human verification using finger stripes geometry. International Journal of Soft Computing, 2 (3). pp. 445-449. ISSN 1816-9503

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Abstract

This study attempts to improve the performance of person verification by finger stripes geometry, which is an efficient, simple, fast, easy to handle and cost effective compared with other biometric human verification technique. Finger stripe geometry is a new biometric type in verification process. This finger stripe based verification consists of two main attributes, feature extraction by image processing and feature learning by ANN (Artificial Neural Network). The Distance Based Nearest Neighbor Algorithm, which shows greater accuracy than NN is also applied here. Using this approach, experimental result provides, Total Success Rate (TSR) is 98.79%, False Acceptance Rate (FAR) is 3.21% and False Rejection Rate (FRR) is 0%. Since the proposed method requires very small computational time, the practical implementation requirement for a large number of person verification is possible.

Item Type: Article (Journal)
Additional Information: 3276/2740
Uncontrolled Keywords: biometrics, feature extraction, back propagation algorithm, distance based nearest neighbors algorithms, human verification, artificial neural network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Prof. Farhat Anwar
Date Deposited: 12 Sep 2011 12:15
Last Modified: 14 Dec 2011 09:27
URI: http://irep.iium.edu.my/id/eprint/2740

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