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Hand Vein Based Personal Identification System

Daramola, S. A. and Olujimi, Ajayi and Morakinyo, A. (2016) Hand Vein Based Personal Identification System. INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY, 5 (2). pp. 799-804. ISSN 2277-9655

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Abstract

Personal Identification is necessary and useful to prevent crime in our society. Biometric traits extracted from hand image are more secure to use for identification compared to Personal Identification Number (PIN) because these features cannot be stolen. Developing an effective hand vein based personal identification system using robust feature with appropriate classifier is a serious task. Therefore this work incorporates new hand vein feature and two different classifiers to develop a personal identification system. Experiments were carried-out to affirm appropriateness of Support Vector Machine (SVM) and Euclidean Distance Measure (EDM) for the proposed system. The results obtained show that the proposed system give better result using SVM compared to EDM.

Item Type: Article
Uncontrolled Keywords: Hand vein, Geometric features, Euclidean Distance Measure, Support Vector Machine
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 13 Apr 2016 13:12
Last Modified: 13 Apr 2016 13:12
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/6547

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