Local-DCT features for facial recognition
File version
Author(s)
Paliwal, K
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Beata J. Wysocki and Tadeusz A. Wysocki
Date
Size
315316 bytes
File type(s)
application/pdf
Location
Gold Coast, Australia
License
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.
Journal Title
Conference Title
2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008 - Proceedings
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights 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.
Item Access Status
Note
Access the data
Related item(s)
Subject
Signal processing