Special Issue Article
Palmprint Recognition Using Adaptive Histogram Equalization and Discrete Curvelet Transform
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In today‟s world, the biometric system is used almost everywhere for the security and personal recognition. Authentication through the palmprint has become increasingly popular in the recent years due to its ease of acquisition, reliability and high user acceptance. In this work, an attempt has been made towards the development of an Authentication system for palmprint images. The palmprint images are recorded using standard protocols are used in this study. The palmprint images are delineated and pre-processed using adaptive histogram equalization. The preprocessed palmprint images are analysed using Discrete curvelet Transform for the recognition of the persons. The results show that extracted features are distinct for different persons.