Local-DCT features for facial recognition

Thumbnail
View/Open
Author(s)
Schwerin, B
Paliwal, K
Griffith University Author(s)
Year published
2008
Metadata
Show full item record
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.
Conference Title
2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008 - Proceedings
Publisher URI
DOI
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
Collection