Eigenface based algorithms to regognize noisy and occluded faces

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 reco...

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Main Author:	Ibrahim Venkat @ Krishnamurthy Venkatasubramanian
Format:	Thesis
Language:	English
Subjects:	TA 1650 .I2 2006 Ibrahim Venkat @ Krishnamurthy Venkatasubramanian Eigenface based algorithms to regognize noisy and occluded faces Human face recognition (Computer science)
Online Access:	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/859/1/TA%201650%20.I2%202006%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/859/2/TA%201650%20.I2%202006%20FullText.pdf
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id	my-umt-ir.-859
record_format	uketd_dc
spelling	my-umt-ir.-8592016-03-11T21:31:20Z Eigenface based algorithms to regognize noisy and occluded faces Ibrahim Venkat @ Krishnamurthy Venkatasubramanian 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. Fakulti Sains dan Teknologi 2006-03 Thesis en http://hdl.handle.net/123456789/859 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/859/1/TA%201650%20.I2%202006%20Abstract.pdf 4b17de0f6588a8e1e21557fd49b8190a http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/859/2/TA%201650%20.I2%202006%20FullText.pdf a16b46b971c1694daee7271f2b9c1c95 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/859/3/license.txt ecca7a0b60eabbf88d99eae3662e2d50 http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/859/4/TA%201650%20.I2%202006%20Abstract.pdf.txt 52e52453f37b03cf339282259f89ebfd http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/859/5/TA%201650%20.I2%202006%20FullText.pdf.txt d6273decf8464c93fda016349cd4679f TA 1650 .I2 2006 Ibrahim Venkat @ Krishnamurthy Venkatasubramanian Eigenface based algorithms to regognize noisy and occluded faces Human face recognition (Computer science)
institution	Universiti Malaysia Terengganu
collection	UMT Repository System
language	English
topic	TA 1650 .I2 2006 Ibrahim Venkat @ Krishnamurthy Venkatasubramanian Eigenface based algorithms to regognize noisy and occluded faces Human face recognition (Computer science)
spellingShingle	TA 1650 .I2 2006 Ibrahim Venkat @ Krishnamurthy Venkatasubramanian Eigenface based algorithms to regognize noisy and occluded faces Human face recognition (Computer science) Ibrahim Venkat @ Krishnamurthy Venkatasubramanian Eigenface based algorithms to regognize noisy and occluded faces
description	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.
format	Thesis
author	Ibrahim Venkat @ Krishnamurthy Venkatasubramanian
author_facet	Ibrahim Venkat @ Krishnamurthy Venkatasubramanian
author_sort	Ibrahim Venkat @ Krishnamurthy Venkatasubramanian
title	Eigenface based algorithms to regognize noisy and occluded faces
title_short	Eigenface based algorithms to regognize noisy and occluded faces
title_full	Eigenface based algorithms to regognize noisy and occluded faces
title_fullStr	Eigenface based algorithms to regognize noisy and occluded faces
title_full_unstemmed	Eigenface based algorithms to regognize noisy and occluded faces
title_sort	eigenface based algorithms to regognize noisy and occluded faces
granting_institution	Fakulti Sains dan Teknologi
url	http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/859/1/TA%201650%20.I2%202006%20Abstract.pdf http://umt-ir.umt.edu.my:8080/jspui/bitstream/123456789/859/2/TA%201650%20.I2%202006%20FullText.pdf
_version_	1747835882894786560

Eigenface based algorithms to regognize noisy and occluded faces

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