基于方向场信息和灰度特征的指纹分割算法研究

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

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。

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 pre- processing purposes.