Template security for fingerprint recognition system with two variables polynomial of fuzzy vault for minutiae points

M. Malkauthekar
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引用次数: 1

Abstract

Minutiae points are the most commonly used as well as accurate feature extraction method of fingerprint recognition system. Using biometrics for person identification is a growing field in many areas, which requires storage of database called template. Biometric system is vulnerable to attack. To reduce this drawback, cryptosystem is combined with biometric. Most common cryptosystem for fingerprint recognition system is fuzzy vault. In this work, two variable polynomial is used to conceal minutiae points, and only encoding is used to decide match/non match result. It gives same result as method which uses encoding and decoding of templates. It reduces computational complexity.
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基于二元多项式模糊vault的指纹识别系统模板安全性
细节点是指纹识别系统中最常用、最准确的特征提取方法。利用生物识别技术进行身份识别在许多领域都是一个新兴的领域,这需要存储称为模板的数据库。生物识别系统容易受到攻击。为了减少这一缺点,密码系统与生物识别技术相结合。指纹识别系统中最常用的密码系统是模糊保险库。在这项工作中,使用两个变量多项式来隐藏细节点,只使用编码来决定匹配/不匹配结果。该方法与使用模板编码和解码的方法得到相同的结果。它降低了计算复杂度。
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