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A Novel Pre-processing Technique for DCT-domain Palm-print Recognition

Journal: International Journal of Scientific & Technology Research (Vol.1, No. 3)

Publication Date:

Authors : ; ; ;

Page : 31-35

Keywords : Spectral feature extraction; binary palm image; two-dimensional discrete cosine transform; classification; palm- print recognition; entropy; modularization.;

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In this paper a novel pre-processing algorithm is introduced to identify the principal lines from a palm-print image and a discrete cosine transform DCT domain feature extraction algorithm is then employed for palm-print recognition which can efficiently capture the spatial variations in the principal lines of a palm-print image. The entire image is segmented into several small spatial modules. The task of feature extraction is carried out in local zones using two dimensional discrete cosine transform 2D-DCT. The proposed dominant DCT-domain feature selection algorithm offers an advantage of very low feature dimension and it is capable of capturing precisely the detail variations within the palm-print image. It is shown that because of the pre-processing step the discriminating capabilities of the proposed features are enhanced which results in a very high within-class compactness and between-class separability of the extracted features. From our extensive experimentations on different palm-print databases it is found that the performance of the proposed method in terms of recognition accuracy and computational complexity is superior to that of some of the recent methods.

Last modified: 2013-04-13 20:29:02