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Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.5, No. 2)

Publication Date:

Authors : ;

Page : 799-804

Keywords : Hand vein; Geometric features; Euclidean Distance Measure;

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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 th is 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 propos ed system. The results obtained show that the proposed system give better result using SVM compared to EDM.

Last modified: 2016-02-26 19:48:32