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Radon transform for face recognition

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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.

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Author information

Authors and Affiliations

  1. School of Engineering and Information Technology, University Malaysia Sabah, Locked Bag 2073, Teluk Likas, 88999, Kota Kinabalu, Sabah, Malaysia

    Jamal Ahmad Dargham, Ali Chekima & Ervin Moung

  2. Computer and Systems Sciences, Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan

    Sigeru Omatu

Authors
  1. Jamal Ahmad Dargham
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  2. Ali Chekima
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  3. Ervin Moung
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  4. Sigeru Omatu
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Corresponding author

Correspondence to Jamal Ahmad Dargham.

Additional information

This work was presented in part at the 15th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2010

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Dargham, J.A., Chekima, A., Moung, E. et al. Radon transform for face recognition. Artif Life Robotics 15, 359–362 (2010). https://doi.org/10.1007/s10015-010-0827-2

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  • DOI: https://doi.org/10.1007/s10015-010-0827-2

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