J4 ›› 2012, Vol. 50 ›› Issue (05): 1011-1014.

• 计算机科学 • 上一篇    下一篇

一种改进的Mean Shift指纹图像分割算法

王科飞1, 王慧2   

  1. 1. 吉林工商学院 信息工程分院, 长春 130062; 2. 长春工业大学 计算机技术与工程学院, 长春 130012
  • 收稿日期:2012-06-27 出版日期:2012-09-26 发布日期:2012-09-29
  • 通讯作者: 王慧 E-mail:email_wanghui@126.com

A Fingerprint Image Segmentation AlgorithmBased on Improved Mean Shift

WANG Ke fei1, WANG Hui2   

  1. 1. Department of Information Engineering, Jilin Business and Technology College, Changchun 130062, China;
    2. School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
  • Received:2012-06-27 Online:2012-09-26 Published:2012-09-29
  • Contact: WANG Hui E-mail:email_wanghui@126.com

摘要:

基于传统指纹图像分割算法, 提出一种改进的Mean Shift指纹图像分割算法. 该算法利用指纹图像固有的方向性特性, 把经过分割后的每个指纹图像区域抽象为一个样本点, 将区域内像素点的灰度均值作为均值向量, 从而有效地实现了指纹图像分割. 实验结果表明, 该算法能准确地将指纹图像中的模糊区域和背景区域分离, 提高了指纹图像分割的精确度, 并且对于多数指纹图像准确性较好.

关键词: 指纹图像; 图像分割; 均值向量

Abstract:

After analysis and research on the traditional fingerprint image segmentation algorithm, an improved Mean Shift algorithm for fingerprint image segmentation was introduced. The algorithm makes fully use of the inherent directional characteristics of fingerprint image to abstract each area of fingerprint image after segmenting  into a sample point and to consider  the grayscale mean value of the pixels within the fingerprint region as  the mean vector, thus achieving the fingerprint image segmentation effectively. Experimental results show that the background area and fuzzy algorithm can accurately be separated from fingerprint image with the algorithm. The algorithm improves the accuracy of segmentation and  has good accuracy for most of fingerprint images.

Key words: fingerprint image; , image division, mean vector

中图分类号: 

  • TP301.6