Fingerprint Verification System Using Support Vector Machine
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 7
Abstract
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.
Authors and Affiliations
S. Adebayo Daramola , Tola Sokunbi , A. U Adoghe
Keywords
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