Radon transform for face recognition

Jamal Ahmad Dargham, and Ali Chekima, and Ervin Moung, and Sigeru, Omatu (2010) Radon transform for face recognition. Artificial Life and Robotics, 15 (3). pp. 359-362. ISSN 1433-5298

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Abstract

Face recognition is an important biometric because of its potential applications in many fields such as access control, surveillance, and human-computer interactions. In this article, an investigation of the effect of the step size for both the angle and the vector of the Radon transform on the performance of a face recognition system based on principal component analysis (PCA) and Euclidean distance is carried out. It was found that changing the vector or the angle step size affects the performance of the system. However, the best equal error rate is achieved when the step size for both angle and vector is set to 1. © 2010 International Symposium on Artificial Life and Robotics (ISAROB).

Item Type: Article
Uncontrolled Keywords: Face recognition, Principal component analysis, Radon transform
Subjects: ?? TK7800-8360 ??
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 09 Mar 2011 08:38
Last Modified: 13 Oct 2017 02:05
URI: http://eprints.ums.edu.my/id/eprint/2152

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