广东工业大学学报 ›› 2010, Vol. 27 ›› Issue (1): 55-60.

• 综合研究 • 上一篇    下一篇

一种高效的指纹图像逐层分割算法

  

  1. 广东工业大学计算机学院,广东广州510006
  • 出版日期:2010-03-25 发布日期:2010-03-25
  • 作者简介:杨仕雄(1981-),男,硕士研究生,主要研究方向为图形图像、软件工程
  • 基金资助:

    广东省科技计划项目(2007B060401007)

A High Eficiency Layer Segmentation Algorithm for Fingerprint Images

  1. Faculty of Computer,Guangdong University ofTechnology,Guangzhou 510006,China
  • Online:2010-03-25 Published:2010-03-25

摘要: 通过研究传统指纹图像分割算法以及多种混合技术指纹图像分割算法,提出一种高效的结合多种方法对指纹图像进行逐层分割的算法.该算法能准确地从原始指纹图像中分割出背景区和前景区,再从前景区中分割出清晰区和模糊区,最后从模糊区中分割出可恢复区和不可恢复区.实验结果表明:该算法抗噪能力强、分割效果好.

关键词: 指纹图像;分割;特征量;方向图;灰度方差;灰度频数

Abstract: The performance of the segmentation algorithm for fingerprint images affects the performance of the whole fingerprint identification system.It presents a segmentation algorithm for fingerprint images,based on the traditional segmentation algorithms and several mixed—technology segmentation algorithms.This algorithm can accurately segment the fingerprint images into the background area and the foreground area,and then segment the foreground area into the clear—cut area and the blurred area,and finally segment the blurred area into the retrievable area and the irretrievable area.The result shows that this segmentation algorithm provides a good segmentation result,and that it is robust against noise.Therefore,it has much higher practical value.

Key words: fingerprint image;segmentation;characteristic quantity;directional graph;gray variance;frequency of gray levels

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