Fingerprint Verification System Using Support Vector Machine

Efficient fingerprint verification system is needed in many places for personal identification to access physical facilities, information etc. This paper proposes robust verification system based on features extracted from human fingerprints and a pattern classifier called Support Vector Machine (SV...

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Bibliographic Details
Published in:International journal on computer science and engineering 2013-07, Vol.5 (7), p.678-678
Main Authors: Daramola, S Adebayo, Sokunbi, Tola, Adoghe, A U
Format: Article
Language:English
Subjects:
Classifiers
Fingerprint verification
Fingerprints
Human
Support vector machines
Trains
Online Access:Get full text
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Summary:Efficient fingerprint verification system is needed in many places for personal identification to access physical facilities, information etc. This paper proposes robust verification system based on features extracted from human fingerprints and a pattern classifier called Support Vector Machine (SVM). Three set of features are fused together and passed to the classifier. The fused feature is used to train the system for effective verification of users fingerprint images. The result obtained after testing 100 fingerprints is very encouraging.
ISSN:0975-3397