Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/41812
Title: A biometric based personal Identification system using face
Researcher: Mathusoothana S kumar R
Guide(s): Muneeswaran K
Keywords: Localized Principal Component Analysis
Random Image Component
Upload Date: 18-May-2015
University: Anna University
Completed Date: 01/05/2014
Abstract: This thesis proposes models for automatic face recognition using newlinelocal region and component based approaches The main focus of the work is newlineto understand global and local feature extraction techniques for face newlinerecognition system to achieve good recognition rate newline Three types of face recognition models are proposed in the work newlineThe first approach is based on modular localized variation using Eigen space newlineApproach also called Localized Principal Component Analysis LPCA for newlineface recognition This algorithm is compared with traditional PCA and newlineModular PCA MPCA for face images with large variations in illumination newlinepose expression and partial occlusions In the proposed approach dividing newlinethe images into adequately smaller modules will help in localizing the facial newlinevariations so that the classification ability can be improved The localization newlineof those variations gets better with smaller modules If the modules become newlinesmaller and smaller then the dependencies among pixels may be ignored To newlineovercome these problems the modules should have some standard form by newlineapplying module creation strategy The accuracy of the LPCA produces better newlineresults in the classification phase newlineThe second type of approach adopts local component approach newlinecalled Random Image Component RIC to overcome large facial variations newline newline newline
Pagination: xxii, 164p.
URI: http://hdl.handle.net/10603/41812
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File27.81 kBAdobe PDFView/Open
02_certificate.pdf1.56 MBAdobe PDFView/Open
03_abstract.pdf10.69 kBAdobe PDFView/Open
04_acknowledgement.pdf7.41 kBAdobe PDFView/Open
05_content.pdf105.96 kBAdobe PDFView/Open
06_chapter1.pdf312.43 kBAdobe PDFView/Open
07_chapter2.pdf302.5 kBAdobe PDFView/Open
08_chapter3.pdf543.38 kBAdobe PDFView/Open
09_chapter3.pdf880.6 kBAdobe PDFView/Open
10_chapter5.pdf606.4 kBAdobe PDFView/Open
11_chapter6.pdf628.17 kBAdobe PDFView/Open
12_chapter7.pdf11.69 kBAdobe PDFView/Open
13_reference.pdf454.95 kBAdobe PDFView/Open
14_publication.pdf27.96 kBAdobe PDFView/Open
15_vitae.pdf11.5 kBAdobe PDFView/Open


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