哈尔滨商业大学学报（自然科学版）2012，Vol.28Issue(2)：231-234,4.
基于小波域软阈值的指纹分割方法研究
A fingerprint image segmentation based on soft-threshold wavelet domain
肖刚1
作者信息
- 1. 哈尔滨工程大学 信息与通信工程学院,哈尔滨 150001
- 折叠
摘要
Abstract
The quality of fingerprint image has great affect for its follow-up steps such as recognition. Therefore, an effective method is needed to enhance the collected fingerprint image. In this paper, a new fingerprint image enhancement approach based on Contourlet transform soft-threshold wavelet domain was proposed. Contourlet is a new multi-scale geometric analysis method, which not only has the main features of local time-frequency and multi-resolution, but also has the directionality and anisotropy. Experimental results demonstrated that the method could effectively improve the quality of fingerprint image, and could increase the clarity of fingerprint ridges and valleys, and have better continuity.关键词
指纹分割/模极大值/轮廓波/Contourlet变换/方向滤波Key words
fingerprint image enhancement/ modulus maximum/ Contourlet transform/ directional filter分类
信息技术与安全科学引用本文复制引用
肖刚..基于小波域软阈值的指纹分割方法研究[J].哈尔滨商业大学学报（自然科学版）,2012,28(2):231-234,4.
