Local-DCT features for facial recognition

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Title Local-DCT features for facial recognition
Author Schwerin, Belinda Marie; Paliwal, Kuldip Kumar
Publication Title Proceedings of the 2nd International Conference on Signal Processing and Communication Systems
Editor Beata J. Wysocki and Tadeusz A. Wysocki
Year Published 2008
Abstract This paper presents the results of a project investigating the use of Discrete-Cosine transform (DCT) to represent facial images of an identity recognition system. The objective was to address the problem of sensitivity to variation in illumination, faced by commercially available systems. The proposed method uses local, block-wise DCT to extract the features of the image. Results show that this appearance based method gives high identification rates, improved tolerance to variation in illumination, and simple implementation.
Peer Reviewed Yes
Published Yes
Publisher URI http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=4811121
Alternative URI http://dx.doi.org/10.1109/ICSPCS.2008.4813751
Copyright Statement Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 9781424442423
Conference name 2nd International Conference on Signal Processing and Communication Systems
Location Gold Coast, Australia
Date From 2008-12-15
Date To 2008-12-17
URI http://hdl.handle.net/10072/23600
Date Accessioned 2009-02-26
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Signal Processing
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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