Cancelable palmprint template generating algorithm based on adaptive threshold  

作　　者：Min Xiangshen Fan Jiulun Zhang Xuefeng 

机构地区：[1]Department of Communications and Information Engineering,Xi'an University of Posts and Telecommunications

出　　处：《The Journal of China Universities of Posts and Telecommunications》2019年第1期1-11,共11页中国邮电高校学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(61301091,61802302);the Scientific Research Program Funded by Shaanxi Provincial Education Department(18JK0717);the Natural Science Basic Research Plan in Shaanxi Province of China(2015JQ6262);the Open Foundation of State Key Laboratory of Information Security(2015-MS-14);the New Star Team of Xi'an University of Posts and Telecommunications

摘　　要：Aiming at the problem of low recognition rate and poor security in the process of palmprint identity authentication,a cancelable palmprint template generating algorithm is proposed,which is based on local Gabor directional pattern with adaptive threshold by mean(m LGDP),difference local Gabor directional pattern with adaptive threshold by mean(m DLGDP)and feature fusion of them.In this method,the feature code of the image is segmented and the feature vectors are extracted and binarized.Then the Bloom filter is used to achieve many-toone mapping and the location scrambling of palmprint image.Finally,the scrambling result matrix and the user key are irreversibly transformed by the convolution operation to obtain a revocable template of the palmprint image.Both theoretical and experimental results analysis show that,in the case of key loss,the method of feature fusion can enhance the diversity of the original palmprint template effectively,improve the recognition rate efficiently,and have better security.Aiming at the problem of low recognition rate and poor security in the process of palmprint identity authentication, a cancelable palmprint template generating algorithm is proposed, which is based on local Gabor directional pattern with adaptive threshold by mean(mLGDP), difference local Gabor directional pattern with adaptive threshold by mean(mDLGDP) and feature fusion of them. In this method, the feature code of the image is segmented and the feature vectors are extracted and binarized. Then the Bloom filter is used to achieve many-to-one mapping and the location scrambling of palmprint image. Finally, the scrambling result matrix and the user key are irreversibly transformed by the convolution operation to obtain a revocable template of the palmprint image. Both theoretical and experimental results analysis show that, in the case of key loss, the method of feature fusion can enhance the diversity of the original palmprint template effectively, improve the recognition rate efficiently, and have better security.

关 键 词：cancelable PALMPRINT TEMPLATE GABOR adaptive THRESHOLD feature fusion 

分 类 号：TN[电子电信]