摘要
随着指纹识别技术的广泛应用，人们对指纹匹配速度和精度的要求越来越高。为了满足用户的需求，研究人员提出了许多优秀的匹配算法，其中点匹配算法是目前研究较广泛的一种算法。由于指纹录入时产生旋转、平移和非才性形变，一般在进行精确的匹配之前先将指纹进行校正。切践校正算法简单，有利于解决指纹录入时产生的旋转和平移，提高匹配速度。在点匹配算法中，利用特征点的方向信息和坐标信息进行匹配，同时采用自适应阀值法，对指纹录入时产生的非玑性形变具有较好的鲁棒性，可以提高识别率。
With the wide use of the fingerprint recognition, people bring forward higher request to fingerprint matching rate and accuracy gradually. Researchers have put forward much excellent matching arithmetic to satisfy user need. Now, the minutiae matching arithmetic is researched widely. When a fingerprint is taken, it usually has rotation, translation and transformation, so a fingerprint commonly is first adjusted before matching. The tangent adjusting arithmetic is simple, and it makes for solving the problems of fingerprint rotation and translation, and successfully improves matching rate. The minutiae matching arithmetic that uses not only minutiae orientation information and coordinate information, but also an autoadjustment threshold way, is robust to fingerprint transformation and successfully improves matching accuracy.
出处
《通讯和计算机（中英文版）》
2004年第1期33-37,共5页
Journal of Communication and Computer
关键词
指纹识别
匹配
校正
切线
中心点
三角点
fingerprint recognition
matching
tangent
adjustment
core point
delta point
