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Feature extraction based on the Bhattacharyya distance

✍ Scribed by Euisun Choi; Chulhee Lee

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
154 KB
Volume
36
Category
Article
ISSN
0031-3203

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✦ Synopsis

In this paper, we present a feature extraction method by utilizing an error estimation equation based on the Bhattacharyya distance. We propose to use classiΓΏcation errors in the transformed feature space, which are estimated using the error estimation equation, as a criterion for feature extraction. The construction of linear transformation for feature extraction is conducted using an iterative gradient descent algorithm, so that the estimated classiΓΏcation error is minimized. Due to the ability to predict error, it is possible to determine the minimum number of features required for classiΓΏcation. Experimental results show that the proposed feature extraction method compares favorably with conventional methods.

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