The Effect of Database Type on Face Recognition Performance for Surveillance Applications

Face recognition is one of the most important biometric approaches due to its potential applications in surveillance monitoring and access control. This paper presents a PCA and SVM based face recognition system for surveillance application. A proposed training database selection criteria suitable f...

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Bibliographic Details

Main Authors:	Ervin Gubin Moung, Jamal Ahmad Dargham, Ali Chekima, Sigeru Omatu
Format:	Article
Language:	en en
Published:	2020
Subjects:	Q Science (General) QA Mathematics
Online Access:	https://eprints.ums.edu.my/id/eprint/26016/1/The%20Effect%20of%20Database%20Type%20on%20Face%20Recognition%20Performance%20for%20Surveillance%20Applications.pdf https://eprints.ums.edu.my/id/eprint/26016/2/The%20Effect%20of%20Database%20Type%20on%20Face%20Recognition%20Performance%20for%20Surveillance%20Applications1.pdf https://eprints.ums.edu.my/id/eprint/26016/ https://doi.org/10.30534/ijatcse/2020/1791.22020
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