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An asymmetric fingerprint matching algorithm for Java Card (TM)

机译:Java Card(TM)的非对称指纹匹配算法

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摘要

We propose a light-weight fingerprint matching algorithm that can be executed inside the devices with a limited computational power. The algorithm is based on the minutiae local structures (the "neighborhoods"), that are invariant with respect to global transformations like translation and rotation. The match algorithm has been implemented inside a smartcard over the Java Card(TM) platform, meeting the individual's need for information privacy and overall authentication procedure security. The main characteristic of the algorithm is to have an asymmetric behavior, in respect to the execution time, between correct positive and negative matches. The performances in terms of authentication reliability and speed were tested on some databases from the Fingerprint Verification Competition 2002 and 2004 editions (FVC2002 and FVC2004). Moreover, our procedure showed better reliability when compared with a related algorithm on the same database. We can achieve a false acceptance rate (FAR) of 0.1%, a false rejection rate of about 6%, and from 0.3 to 8 s to match most of the finger pairs during the FAR tests.
机译:我们提出了一种轻量级的指纹匹配算法,该算法可以在设备内部以有限的计算能力执行。该算法基于细节局部结构(“邻域”),这些局部结构对于全局平移(如平移和旋转)而言是不变的。匹配算法已在Java Card™平台上的智能卡内部实现,可以满足个人对信息隐私和整体身份验证过程安全性的需求。该算法的主要特征是在正确的正负匹配之间在执行时间方面具有不对称行为。在2002年和2004年指纹验证竞赛(FVC2002和FVC2004)的某些数据库上对认证可靠性和速度方面的性能进行了测试。而且,与同一个数据库中的相关算法相比,我们的过程显示出更好的可靠性。我们可以实现0.1%的错误接受率(FAR),大约6%的错误拒绝率,以及0.3至8 s的错误接受率,以匹配FAR测试期间的大多数手指对。

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