J4 ›› 2016, Vol. 1 ›› Issue (6): 30-32.

• 物理学 • 上一篇    下一篇

基于方向场信息和灰度特征的指纹分割算法研究

  

  1. (大理大学工程学院,云南大理671003)
  • 收稿日期:2015-11-02 出版日期:2016-06-15 发布日期:2016-06-15
  • 作者简介:陈婧,讲师,主要从事数字图像处理技术研究.
  • 基金资助:

    云南省教育厅科学研究基金资助项目(2015C073Y)

Fingerprint Image Segmentation Algorithm Based on the Direction of the Field of Information and Gray
Feature Fingerprint Segmentation

  1. (College of Engineering, Dali University, Dali, Yunnan 671003, China)
  • Received:2015-11-02 Online:2016-06-15 Published:2016-06-15

摘要:

指纹图像分割是指纹图像预处理过程中的关键步骤,目的是便于指纹图像特征点的有效提取。根据常见的指纹分割
处理的基本原理,归纳总结了两种常用的分割算法:基于统计特性的方法和基于方向信息的方法。在此基础上,提出基于方向
场信息和灰度特征的分割算法,结果表明:此法可以有效、可靠地进行指纹图像分割,分割效果达到指纹图像预处理的目的。

关键词: 图像处理, 方向场算法, 灰度特征, 指纹分割

Abstract:

Fingerprint image segmentation is a key step in the pre-processing, with the purpose of facilitating the effective extraction
of fingerprint image feature. According to the basic principles of the common fingerprint segmentation process, this paper summarizes
two common segmentation algorithms: methods of information-based approach and the statistical properties of the base direction. On
this basis, this paper proposed segmentation algorithm based on orientation field information and gray feature, the results showed that:
this method can efficiently and reliably segment fingerprint image, and the segmentation effect can meet the fingerprint image preprocessing
purposes.

Key words: image processing, the algorithm of direction, gray feature, fingerprint segmentation

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