一个利用模糊匹配算法的指纹识别系统（外文文献翻译）.doc

Abstract
A fingerprint recognizing system is built with two principal components: the fingerprint administrator and the fingerprint recognizer. Fingerprints are identified by their special features such as ridge endings, ridge bifurcation, short ridges, and ridge enclosures, which are collectively called the minutiae. The fingerprint administrator uses the method of gray scale ridge tracing backed up by a validating procedure to extract the minutiae of fingerprints. The fingerprint recognizer employs the technique of fuzzy evolutionary programming to match the minutiae of an input fingerprint with those from a database. Experimental results show the methods used are highly effective.
1. Introduction
Fingerprints have been used for many centuries as a means of identifying people [8,16]. As it is well known that fingerprints of an individual are unique and are normally unchanged during the whole life, the use of fingerprints is considered one of the most reliable methods of personal verification. This method has been widely used in criminal identification, access authority verification, financial transferring confirmation, and many other civilian applications.
摘要
一个指纹识别系统首先要包括两个部分：指纹管理程序和指纹识别器。指纹被他们的特有特征所识别，例如脊末梢、脊分叉点、短脊等一些被采集的特征点。指纹管理人使用被一个支持提取取指纹的 特征点 的灰色刻度脊的方法确认程序追踪。指纹识别系统利用模糊匹配算法将输入的指纹的特征点和数据库中的指纹的特征点进行匹配。实验证明这种方法是高效的。
1、介绍
在许多世纪以前，指纹就已经被用来识别人的身份。众所周知，每一个指纹都是独一无二的，并且在人的一生中是固定不变的，指纹的使用被认为是一种比较可靠的身分确认方法。这种方法已经被广泛的应用于罪犯的确认、访问授权的确认、财政转移的确认和其他的市民申请。