• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (06): 1137-1147.

• 论文 • 上一篇    下一篇

一种新的指纹图像分割算法

刘汉英1,周剑勋2   

  1. (1.桂林理工大学信息科学与工程学院,广西 桂林 541004;2.桂林泓成橡塑科技有限公司,广西 桂林 541004)
  • 收稿日期:2012-08-17 修回日期:2013-01-21 出版日期:2014-06-25 发布日期:2014-06-25
  • 基金资助:

    国家自然科学基金资助项目(61262075);广西教育厅科研项目(200708LX226)

A novel algorithm  for  fingerprint segmentation      

LIU Hanying1,ZHOU Jianxun2     

  1. (1.College of Information Science and Engineering,Guilin University of Technology,Guilin 541004;
    2.Guilin hicheng Rubber and Plastics Machinery Company Limited,Guilin 541004,China)
  • Received:2012-08-17 Revised:2013-01-21 Online:2014-06-25 Published:2014-06-25

摘要:

指纹图像分割是自动指纹识别的重要步骤。对指纹特征和传统指纹分割方法进行了研究,提出了一种新的指纹图像分割算法。先对指纹图像进行裁剪,如果指纹图像对比度较低,则对图像进行均衡化处理;然后对图像进行顶帽变换,补偿不均匀的背景亮度;最后用迭代自组织分析算法(ISODATA聚类)对图像进行分块分割和形态学图像处理。对国际指纹识别竞赛(FVC)数据库不同质量的指纹进行了测试,实验结果表明,此算法对不同质量的指纹是有效的,效果好于传统指纹分割方法。

关键词: 分割, 指纹, 算法, ISODATA聚类, 形态学图像处理

Abstract:

Fingerprint segmentation is an important step of automatic fingerprint identification system. The features of the fingerprint and the tradition fingerprint segmentation algorithms are studied. A new algorithm of fingerprint segmentation is proposed. Firstly, the print area is found quickly and the image is cropped. If the contrast is low, the histogram equalization is applied on the image. Then tophat transform is used on the image to compensate the nonuniform background intensity. After that, the algorithm of the iterative selforganizing data analysis technique is applied and the image is segmented by block. And the morphological image processing is adopted. The algorithm is tested on the different quality fingerprints of the FVC (Fingerprint Verification Competition) fingerprint databases. The experimental results indicate that the proposed algorithm is effective for different quality fingerprints and outperforms the tradition fingerprint segmentation algorithms.

Key words: segmentation;fingerprint;algorithm;ISODATA clustering;morphological processing