Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/29248
Title: Some studies on soft computing based Techniques for face recognition
Researcher: Latha, P
Guide(s): Ganesh, L
Keywords: Fisher s Linear Discriminant Analysis
Neural Networks
Principal Component Analysis
Upload Date: 27-Nov-2014
University: Anna University
Completed Date: 01/06/2010
Abstract: Face Recognition is one of the emerging and active research areas newlinein Image processing Pattern recognition and Computer vision Computer newlinevision based face recognition aims to duplicate the effect of human vision by newlineelectronically perceiving understanding and recognizing an image Face newlinerecognition possesses great advantages of non intrusiveness and user friendly newlineapproach The main aim of this thesis is to develop a few innovative soft newlinecomputing techniques for recognizing a face image from the given database newlinefor authentication This work focuses on acquiring an effective face newlinerecognition using different algorithms such as Principal Component Analysis newline PCA Fisher s Linear Discriminant Analysis FLDA Gabor Wavelets and newlineNeural Networks NN Debauchees Wavelets and Fuzzy C means clustering newline FCM In PCA and FLDA algorithms the images are converted into newlinevectors and are compared with the query image based on Euclidean distance newlineGabor wavelets and NN with FLDA attempt to utilize the wavelet s ability newlineand to preserve information about the image at different levels Neural newlinenetworks are used to check whether the given image is a known face or not newlineThus this system relies on wavelet decomposition for feature extraction PCA newlineand FLDA for dimensionality reduction and back propagation neural network newlineto achieve a robust decision for face recognition newline newline
Pagination: xvii, 216p.
URI: http://hdl.handle.net/10603/29248
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf1.43 MBAdobe PDFView/Open
03_abstract.pdf8.44 kBAdobe PDFView/Open
04_acknowledgement.pdf6.54 kBAdobe PDFView/Open
05_content.pdf59.03 kBAdobe PDFView/Open
06_chapter1.pdf71.54 kBAdobe PDFView/Open
07_chapter2.pdf40 kBAdobe PDFView/Open
08_chapter3.pdf2.38 MBAdobe PDFView/Open
09_chapter4.pdf1.23 MBAdobe PDFView/Open
10_chapter5.pdf1.19 MBAdobe PDFView/Open
11_chapter6.pdf382.33 kBAdobe PDFView/Open
12_chapter7.pdf12.06 kBAdobe PDFView/Open
13_appendix.pdf7.24 MBAdobe PDFView/Open
14_reference.pdf41.29 kBAdobe PDFView/Open
15_publication.pdf5.73 kBAdobe PDFView/Open
16_vitae.pdf5.28 kBAdobe PDFView/Open


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