计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (8): 184-186.DOI: 10.3778/j.issn.1002-8331.2009.08.056

• 图形、图像、模式识别 • 上一篇    下一篇

蚁群算法在指纹增强中的应用

杨 金1,钟乐海1,陈清波2,邹海洋1   

  1. 1.西华师范大学 计算机学院,四川 南充 637002
    2.中山路小学,湖南 永州 425006
  • 收稿日期:2008-03-03 修回日期:2008-07-01 出版日期:2009-03-11 发布日期:2009-03-11
  • 通讯作者: 杨 金

Application of ant colony algorithm for fingerprint image enhancement research

YANG Jin1,ZHONG Le-hai1,CHEN Qing-bo2,ZOU Hai-yang1   

  1. 1.College of Computer Science,China West Normal University,Nanchong,Sichuan 637002,China
    2.Zhongshan Road Primary School,Yongzhou,Hunan 425006,China
  • Received:2008-03-03 Revised:2008-07-01 Online:2009-03-11 Published:2009-03-11
  • Contact: YANG Jin

摘要: 自动的指纹识别系统是基于生物特征的身份识别技术的重要组成部分。指纹增强技术可以有效地加强指纹的脊线特征,为指纹细节的提取和匹配奠定可靠的基础。依据蚁群算法的聚类特性,提出了一种基于蚁群算法的指纹增强方法,提高了指纹图像的质量。

关键词: 蚁群算法, 指纹增强, 指纹识别, 聚类

Abstract: Automatic fingerprint identification system is one of the important uses of biometrics,which refers to identifying an individual based on his or her physiological or behavioral characteristics.Fingerprint enhancement can improve the clarity of the ridge structures of input fingerprint image,and ensure the performance of the minutiae extraction and fingerprint matching.According to ant colony algorithm with clustering characteristics,a fingerprint image enhancement based on ant colony algorithm is proposed.This method can improve the quality for fingerprint image.

Key words: ant colony algorithm, fingerprint enhancement, fingerprint verification, clustering