Local-DCT features for facial recognition

Loading...
Thumbnail Image
File version
Author(s)
Schwerin, B
Paliwal, K
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)

Beata J. Wysocki and Tadeusz A. Wysocki

Date
2008
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
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

Persistent link to this record
Citation