计算机应用 ›› 2005, Vol. 25 ›› Issue (06): 1307-1309.

• 图形图像处理 • 上一篇    下一篇

基于方向射线与非严格对称属性的纹型快速分类算法

佟雨兵,常青,张其善   

  1. 北京航空航天大学电子信息工程学院
  • 发布日期:2011-04-06 出版日期:2005-06-01

Fast fingerprint classification algorithm based on oriented radial and generalized nonsymmetrical features

TONG Yu-bing, CHANG Qing, ZHANG Qi-shan   

  1. Department of Electronic Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Online:2011-04-06 Published:2005-06-01

摘要: 概述并分析了常用的几种纹型分类方法,提出了一种基于方向射线和指纹图像空间域上的非严格对称属性的纹型分类算法。该算法对指纹中心点的定位要求低,纹型特征的维数低,有效减弱了常用方法中这两方面的计算偏差对分类结果的影响。以集合的方式定义出方向射线,进行指纹空间域特征提取,使得特征提取过程更直观,纹型分类策略更简单。最后实验证明了该算法的有效性。

关键词: 空间域特征, 方向射线, 特征提取, 特征检索环带

Abstract: In this paper, several methods used to class fingerprint were introduced and analyzed. A novel spatial one was presented here, which made low request to fingerprint minutiae with low complexity by defining oriented radial and feature-indexing zone. The results from the experiment improve it effective.In this paper, several methods used to class fingerprint were introduced and analyzed. A fast fingerprint classification algorithm was presented, which was based on oriented radial and generalized nonsymmetrical features of fingerprint. The new algorithm made low request to fingerprint center location and the dimension of fingerprint features was also lower. The oriented radial was used to extract fingerprint spatial features. The process of extracting features and classification strategy were simple. At the bottom of this paper, results from the experiment improve it effective.

Key words:  spatial features, oriented radial, minutia extract, feature-indexing zone

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