Cancelable palmprint template generating algorithm based on adaptive threshold

doi:10.19682/j.cnki.1005-8885.2019.0002

中国邮电高校学报(英文) ›› 2019, Vol. 26 ›› Issue (1): 1-11.doi: 10.19682/j.cnki.1005-8885.2019.0002

• Artificial Intelligence • 下一篇

Cancelable palmprint template generating algorithm based on adaptive threshold

闵祥参¹,范九伦²,张雪锋³

1. 西安邮电大学
2. 西安邮电学院
3. 西安邮电学院通信与信息工程学院

收稿日期:2018-09-12 修回日期:2018-12-14 出版日期:2019-02-26 发布日期:2019-02-27
通讯作者: 闵祥参 E-mail:minxiangshen@163.com
基金资助:
面向认知Ad hoc网络多信道路由的信任管理研究;抗集体噪音的测量设备无关量子密钥分发研究

Cancelable palmprint template generating algorithm based on adaptive threshold

Received:2018-09-12 Revised:2018-12-14 Online:2019-02-26 Published:2019-02-27
Contact: Xiang-shen MIN E-mail:minxiangshen@163.com

摘要/Abstract

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 (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 fea-ture 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 diver-sity 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 fusionfeature fusion

Abstract: 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 fea-ture 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 diver-sity of the original palmprint template effectively, improve the recognition rate efficiently, and have better security.

Key words: cancelable palmprint template，Gabor， adaptive threshold， feature fusionfeature fusion

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Cancelable palmprint template generating algorithm based on adaptive threshold

Cancelable palmprint template generating algorithm based on adaptive threshold

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