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《Journal of Chongqing University of Technology(Natural Science)》 2010-01
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Fingerprint Recognition System Based on BP Neural Network

ZHANG Tong1,2,XIAO Nan-feng1(1.School of Computer Science and Engineering,South China University of Technology,Guangzhou 510641,China;2.Dept of Computer,Guangdong Police Officers College,Guangzhou 510230,China)  
In view of the increase of fingerprint database size,this paper adopts BP neural network to classify the fingerprint in order to enhance the speed and precision of recognition.As a result,the fingerprint is sorted into six types: left loop,right loop,arch,whorl,tented,and unidentified.Thus fingerprint is recognized according to the extracted feature among certain type.In the experiment,a system of fingerprint recognition is designed and implemented.This system is able to sort the fingerprint automatically,and then compare it with those in certain database,and in the end the identity information can be obtained quickly.
【Fund】: 国家自然科学基金与中国民用航空总局联合资助项目(60776816);; 广东省自然科学基金重点资助项目(8251064101000005);; 广东省科技攻关项目(2007B0604017)
【CateGory Index】: TP391.41
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