An automated matching technique for fingerprint identification

D. Mital, E. Teoh
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引用次数: 21

Abstract

The purpose of this paper is to demonstrate how a structural matching approach can be used to perform effective rotational invariant fingerprint identification. In this approach, each of the extracted features is correlated with five of its nearest neighbouring features to form a local feature group for a first-stage matching. After that, the feature with the highest match is used as a central feature whereby all the other features are correlated to form a global feature group for a second-stage matching. The correlation between the features is in terms of distance and relative angle. This approach actually makes the matching method rotational invariant. A substantial amount of testing was carried out and it shows that this matching technique is capable of matching the four basic fingerprint patterns with an average matching time of 4 seconds on a 66 Mhz, 486 DX personal computer.
指纹识别的自动匹配技术
本文的目的是演示如何使用结构匹配方法来执行有效的旋转不变指纹识别。在这种方法中,每个提取的特征与其最近的五个相邻特征相关联,形成一个局部特征组,用于第一阶段的匹配。之后,将匹配度最高的特征作为中心特征,将所有其他特征关联起来,形成一个全局特征组,进行第二阶段的匹配。特征之间的相关性是根据距离和相对角度来确定的。这种方法实际上使匹配方法旋转不变。大量的测试表明,该匹配技术能够在66 Mhz, 486 DX个人计算机上以平均4秒的匹配时间匹配四种基本指纹模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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