Local-DCT features for facial recognition

Schwerin, Belinda; Paliwal, Kuldip

doi:10.1109/ICSPCS.2008.4813751

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Author

Schwerin, Belinda

Paliwal, Kuldip

Year published

2008

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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.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.
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Conference Title

Proceedings of the 2nd International Conference on Signal Processing and Communication Systems

Publisher URI

http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=4811121

DOI

https://doi.org/10.1109/ICSPCS.2008.4813751

Copyright Statement

© 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.

Subject

Signal Processing

Publication URI

http://hdl.handle.net/10072/23600

Collection

Conference outputs