Welcome to the upgraded BRAC University Institutional Repository. We are currently organizing collections after a recent system upgrade. Homepage category counters may temporarily show lower numbers while syncing, but over 27,000 repository items remain safe and accessible. Please use the search bar to find theses, scholarly outputs, and institutional documents.

Literature survey of automatic face recognition system and eigenface based implementation

Citation

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 .

Description

Cataloged from PDF version of thesis report.
Includes bibliographical references (page 69).
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2008.

Publisher Link

Type

Thesis