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Title: Development of novel models for face recognition using orthogonal polynomial transforms and neural networks
Researcher: Sheeba rani j
Guide(s): Devaraj D
Keywords: electrical engineering
face recognition
orthogonal polynomial transforms
Upload Date: 18-Mar-2015
University: Anna University
Completed Date: 01/04/2009
Abstract: This thesis proposes models for automatic face recognition using newlinemomentbased orthogonal polynomial transforms and artificial neural newlinenetworks The major issues in automatic face recognition system are face newlinelocalization feature extraction and classification To strengthen the newlineperformance of automatic face recognition a feature invariant face newlinelocalization procedure is developed to separate the face from the background newlineIt uses the elliptical shape of the face to localize the face region newlineThree types of face recognition models are proposed in the work newlineThe first approach employs Generalized PseudoZernike Polynomial GPZP newlineand Tchebichef Polynomial TP for feature extraction to satisfy the minimal newlinerequirement of a face recognition system namely to overcome the curse of newlinedimensionality invariant to size and tilt of the face and invariant to natural newlinelighting condition newline newline
Pagination: xxiii, 202p.
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File17.2 kBAdobe PDFView/Open
02_certificate.pdf7.27 kBAdobe PDFView/Open
03_abstract.pdf11.06 kBAdobe PDFView/Open
04_acknowledgement.pdf7.94 kBAdobe PDFView/Open
05_contents.pdf109.36 kBAdobe PDFView/Open
06_chapter 1.pdf139.66 kBAdobe PDFView/Open
07_chapter 2.pdf276.93 kBAdobe PDFView/Open
08_chapter 3.pdf834.58 kBAdobe PDFView/Open
09_chapter 4.pdf665.6 kBAdobe PDFView/Open
10_chapter 5.pdf1.34 MBAdobe PDFView/Open
11_chapter 6.pdf350.31 kBAdobe PDFView/Open
12_chapter 7.pdf19.12 kBAdobe PDFView/Open
13_appendix.pdf359.29 kBAdobe PDFView/Open
14_references.pdf262.41 kBAdobe PDFView/Open
15_publications.pdf37.97 kBAdobe PDFView/Open
16_vitae.pdf7.31 kBAdobe PDFView/Open

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