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cancelable palmprint template generating algorithm based on adaptive threshold

The Journal of China Universities of Posts and Telecommunications 2019年第1期26卷 1-11页

作者： Min Xiangshen Fan Jiulun Zhang Xuefeng Department of Communications and Information Engineering Xi'an University of Posts and Telecommunications

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 *** this method,the feature code of the image is segmented and the feature vectors are extracted and *** the Bloom filter is used to achieve many-toone mapping and the location scrambling of palmprint ***,the scrambling result matrix and the user key are irreversibly transformed by the convolution operation to obtain a revocable template of the palmprint *** 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

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Key Incorporation Scheme for cancelable Biometrics

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Journal of Information Security 2011年第4期2卷 185-194页

作者： Eliza Yingzi Du Kai Yang Zhi Zhou 不详

Biometrics is becoming an important method for human identification. However, once a biometric pattern is stolen, the user will quickly run out of alternatives and all the applications where the associated biometric pattern is used become insecure. cancelable biometrics is a solution. However, traditional cancelable biometric methods treat the transformation process and feature extraction process independently. As a result, this kind of cancelable biometric approach would reduce the recognition accuracy. In this paper, we first analyzed the limitations of traditional cancelable biometric methods, and proposed the Key Incorporation Scheme for cancelable Biometrics approach that could increase the recognition accuracy while achieving “cancelability”. Then we designed the Gabor Descriptor based cancelable Iris Recognition method that is a practical implementation of the proposed Key Incorporation Scheme. The experimental results demonstrate that our proposed method can significantly improve the iris recognition accuracy while achieving “cancelability”.

关键词： cancelable Iris Recognition Gabor Descriptor Recognition Capacity Key Incorporation Scheme for cancelable Biometrics

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