Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/859
Title: Eigenface based algorithms to regognize noisy and occluded faces
Authors: Ibrahim Venkat @ Krishnamurthy Venkatasubramanian
Keywords: TA 1650 .I2 2006
Ibrahim Venkat @ Krishnamurthy Venkatasubramanian
Eigenface based algorithms to regognize noisy and occluded faces
Human face recognition (Computer science)
Issue Date: Mar-2006
Publisher: Fakulti Sains dan Teknologi
Series/Report no.: ;TA 1650 .I2 2006
Abstract: Face 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.
URI: http://hdl.handle.net/123456789/859
Appears in Collections:Fakulti Sains dan Teknologi

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