dc.contributor.author | Ferdous, Shariful Islam | |
dc.contributor.author | Ahmed, Sabbir | |
dc.date.accessioned | 2010-09-21T10:40:57Z | |
dc.date.available | 2010-09-21T10:40:57Z | |
dc.date.copyright | 2008 | |
dc.date.issued | 2008-08 | |
dc.identifier.other | ID 02101073 | |
dc.identifier.other | ID 03201024 | |
dc.identifier.uri | http://hdl.handle.net/10361/169 | |
dc.description | This 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.description | Cataloged from PDF version of thesis report. | |
dc.description | Includes bibliographical references (page 69). | |
dc.description.abstract | There 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.statementofresponsibility | Md. Shariful Islam Ferdous | |
dc.description.statementofresponsibility | Md. Sabbir Ahmed | |
dc.language.iso | en | |
dc.publisher | BRAC University | en_US |
dc.rights | BRAC 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.subject | Computer science and engineering | |
dc.title | Literature survey of automatic face recognition system and eigenface based implementation | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, BRAC University | |
dc.description.degree | B. Computer Science and Engineering | |