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dc.contributor.authorIbrahim Venkat @ Krishnamurthy Venkatasubramanian-
dc.date.accessioned2011-09-17T06:13:38Z-
dc.date.available2011-09-17T06:13:38Z-
dc.date.issued2006-03-
dc.identifier.urihttp://hdl.handle.net/123456789/859-
dc.description.abstractFace recognition is one of the remarkable human abilities to recognize people, while building a computer based face recognition system is still an active on-going research. Although the research in face recognition technology has grown gradually for the past five decades, computer based face recognition systems which are commercially available at present are still at infancy stage and have some practical limitations. In this research, two main problems in face recognition system, namely noise and occlusion had been identified for research focus. In this research, Eigenface Technique (EFT) had been employed as a core technique for recognizing faces under noisy and occluded conditions. Extensive experimental runs have been carried out by subjecting faces with various types of noise and variety of random occlusions.en_US
dc.language.isoenen_US
dc.publisherFakulti Sains dan Teknologien_US
dc.relation.ispartofseries;TA 1650 .I2 2006-
dc.subjectTA 1650 .I2 2006en_US
dc.subjectIbrahim Venkat @ Krishnamurthy Venkatasubramanianen_US
dc.subjectEigenface based algorithms to regognize noisy and occluded facesen_US
dc.subjectHuman face recognition (Computer science)en_US
dc.titleEigenface based algorithms to regognize noisy and occluded facesen_US
dc.typeThesisen_US
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