Palmprint Recognition Combining LBP and Cellular A

Authors: Xiao Dong Dai Bing Wang Pei ZhenWang

Publish Date: 2010/8/18

Volume: , Issue: , Pages: 460-466

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Abstract

In this paper we present a palmprint recognition method which combines local binary pattern LBP and cellular automata The LBP descriptor is proposed as a unifying texture model that describes the formation of a texture with microtextons and their statistical placement rules Because texture is one of the most importent features in palmprint image so we think the features based on LBP will be good discriminative for palmprint identification Cellular automata can be generally described as discrete dynamic systems completely defined by a set of rules in a local neighborhood In this paper we use cellular automata to extract features as the part of feature vector The experiments conducted on Polytechnic University Palmprint Database I demonstrates the effectiveness of proposed method

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