Fingerprint Verification System Using Support Vector Machine

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dc.creatorDaramola, S. A., Sokunbi, Tola, Adoghe, A. U.
dc.date2013-07
dc.date.accessioned2025-03-27T17:38:48Z
dc.descriptionEfficient 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.
dc.formatapplication/pdf
dc.identifierhttp://eprints.covenantuniversity.edu.ng/4140/
dc.identifier.urihttps://repository.covenantuniversity.edu.ng/handle/123456789/33187
dc.languageen
dc.subjectQ Science (General), QA Mathematics, QA75 Electronic computers. Computer science
dc.titleFingerprint Verification System Using Support Vector Machine
dc.typeArticle

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