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dc.contributor.authorFerdous, Shariful Islam
dc.contributor.authorAhmed, Sabbir
dc.date.accessioned2010-09-21T10:40:57Z
dc.date.available2010-09-21T10:40:57Z
dc.date.copyright2008
dc.date.issued2008-08
dc.identifier.otherID 02101073
dc.identifier.otherID 03201024
dc.identifier.urihttp://hdl.handle.net/10361/169
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2008.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 69).
dc.description.abstractThere are three fundamental grounds for me to write this survey paper: the first is to provide an uptodate review of the existing literature, and the second is to reveal some technical term that how a Computer can recognize a Face (mostly the Algorithms) and the final intention to let know the beginners research opportunity and various prospect of face recognition field To provide a comprehensive survey, I started from the relevant psychophysical studies that how human being perform this work. Then move on to existing recognition techniques and present detailed descriptions of all techniques. In addition, I put some comparative studies between systems and tried to explain some preprocessing difficulty (illumination, pose variation, image quality etc.) and its explanation for face recognition system. Finally we tried to implement a AFR system based on Eigenface method where we have added a noise filtering .en_US
dc.description.statementofresponsibilityMd. Shariful Islam Ferdous
dc.description.statementofresponsibilityMd. Sabbir Ahmed
dc.language.isoen
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectComputer science and engineering
dc.titleLiterature survey of automatic face recognition system and eigenface based implementationen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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