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Fingerprint Verification System Using Support Vector Machine

Daramola, S. A. and Sokunbi, Tola and Adoghe, A. U. (2013) Fingerprint Verification System Using Support Vector Machine. International Journal on Computer Science and Engineering (IJCSE) ISSN :, 5 (7). pp. 678-683. ISSN 0975-3397

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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.

Item Type: Article
Uncontrolled Keywords: fingerprint, fused feature, Support Vector Machine and verification
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 21 Mar 2015 19:29
Last Modified: 21 Mar 2015 19:29

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