Fingerprint Verification System Using Support Vector Machine
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Abstract
Description
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.
Keywords
Q Science (General), QA Mathematics, QA75 Electronic computers. Computer science