Radon transform for face recognition

Authors:
Jamal Ahmad Dargham;Ali Chekima;Ervin Moung;Sigeru Omatu
Affiliations:
School of Engineering and Information Technology, University Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia 88999;School of Engineering and Information Technology, University Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia 88999;School of Engineering and Information Technology, University Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia 88999;Computer and Systems Sciences, Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan
Venue:
Artificial Life and Robotics
Year:
2010

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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.