An Improved Biohashing Algorithm Based on Key Generation Principle

被引：0
|
作者：
Li, Huixian [1 ]
Wang, Xuan [1 ]
Pang, Liaojun [2 ]
Wang, Yumin [2 ]
机构：
[1] School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China
[2] The Ministry of Education Key Laboratory of Computer, Networks and Information Security, Xidian University, Xi'an 710071, China
来源：
Journal of Computational Information Systems | 2011年 / 7卷 / 14期
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摘要：
In this paper, an improved Biohashing algorithm is proposed, mainly related to the security issue of the base Biohashing algorithm when an impostor steals the Token. At first, based on the principle of the key generation algorithm, an auxiliary data HelperData is generated, which is blended by the biometric data and the Token held by the user. Then the HelperData which is used in place of the Token is fed to the base Biohashing system. Experimental results over FVC2002 DB1show that the improved algorithm can maintain a very low equal error rate when nobody steals the Token, and reach good performance also when an impostor steals the Token. © 2011 Binary Information Press December, 2011.
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页码：5068 / 5075
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