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Palm-print Features 2.1 PROPOSED METHOD FOR PALM-PRINT RECOGNITION A palm-print recognition system consists of some major steps; input palm-print image collection, pre-processing, feature extraction using Contourlet Transform, template storage or database and classification, as illustrated in the block diagram in Fig. 2.
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Human palm prints have been used as a trusted form of individual identification because palm-prints have both uniqueness and permanence. In this paper, the Contourlet coefficient dependencies in terms of coefficient correlations in the gray-scale palm-print image (ROI, 150 x 150 in size) between all bands and all sub-bands are expressed. Then stati...
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... for identification in the commercial applications. The second type of features are the singular point, ridges and minutiae point which could be extracted from high resolution images (>100dpi) and it is used for forensic applications such as law enforcement application [4]. Both high and low resolution image Features in palm-print are shown in Fig. 1. Palm-print recognition methods are based on extracting unique major and minor line structures that remain stable throughout the lifetime of a person. The input palm-print image can be collected by using a palm-print scanner. In the process of capturing palm images, distortions including rotation, shift and translation may be present ...
