Article Abstract

	Title:	Face recognition based on ordinal correlation
	Author:	Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh
	Address:	Department of Computing, Curtin University of Technology, GPO Box, U1987 Perth, WA 6845, Australia. ' Department of Computing, Curtin University of Technology, GPO Box, U1987 Perth, WA 6845, Australia. ' Department of Computing, Curtin University of Technology, GPO Box, U1987 Perth, WA 6845, Australia. ' Department of Computing, Curtin University of Technology, GPO Box, U1987 Perth, WA 6845, Australia
	Journal:	International Journal of Intelligent Systems Technologies and Applications 2007 - Vol. 3, No.3/4  pp. 226 - 240
	Abstract:	In this paper, we propose a new face recognition system based on the ordinal correlation principle. First, we explain the ordinal similarity measure for any two images and then propose a systematic approach for face recognition based on this ordinal measure. In addition, we design an algorithm for selecting a suitable classification threshold via using the information obtained from the training database. Experimentation is conducted on the Yale datasets and the results show that the proposed face recognition approach outperforms the Eigenface and 2DPCA approaches significantly and also the threshold selection algorithm works effectively. Further, we carry out experimentation with various noise algorithms and the results show that the ordinal approach outperforms the Eigenface and 2DPCA approaches under different noise algorithms.
	Keywords:	ordinal similarity measures; face recognition; image processing; computer vision; ordinal correlation; threshold selection.
	DOI:	10.1504/IJISTA.2007.014261
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