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Face Recognition via the Overlapping Energy Histogram

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Authors
Tjahyadi, Ronny
Liu, Wan-Quan
An, Senjian
Venkatesh, Svetha
Date
2007
Type
Conference Paper

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Citation
Tjahyadi, R. and Liu, W. and An, S. and Venkatesh, S. 2007. Face Recognition via the Overlapping Energy Histogram, in Sangal, R. and Mehta, H. and Bagga, R.K. (ed), Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), Jan 6 2007, pp. 2891-2895. Hyderabad, India: International Joint Conferences on Artificial Intelligence.
Source Title
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07)
Source Conference
Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07)
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Department of Computing
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Abstract

In this paper we investigate the face recognition problem via the overlapping energy histogram of the DCT coefficients. Particularly, we investigate some important issues relating to the recognition performance, such as the issue of selecting threshold and the number of bins. These selection methods utilise information obtained from the training dataset. Experimentation is conducted on the Yale face database and results indicate that the proposed parameter selection methods perform well in selecting the threshold and number of bins. Furthermore, we show that the proposed overlapping energy histogram approach outperforms the Eigenfaces, 2DPCA and energy histogram significantly.