一种新型指纹图像分割算法  

A new segmenting algorithm for fingerprint images

作　　者：黄斌[1] 

机构地区：[1]浙江工业大学信息工程学院,浙江杭州310014

出　　处：《机电工程》2010年第7期78-80,共3页Journal of Mechanical & Electrical Engineering

摘　　要：针对传统分割算法在含污迹较多的指纹识别应用中分割效果较差的问题,首先介绍了指纹图像分割的基本概念;然后对分割算法在输入指纹图像携带一定污迹、杂质等噪声环境下的鲁棒性进行了重点研究;最后,提出了一种新的基于最大类间方差法和传统方差法的分块处理的分割算法,并通过自适应滤波进一步平滑指纹图像的脊线及边界轮廓。实验结果表明,该方法较传统的分割算法能更好地完成实际应用中含污迹杂质较多的指纹的分割处理。Aiming at the problem that the traditional segmenting algorithms can not be effectively used in the fingerprint identification while the finger contain many impurities,firstly,the basic concepts of segmenting algorithms were introduced.The robustness of the segmenting al-gorithms to the noises attached to the input fingerprint images,such as dirt,impurities and low contrast was analyzed.A new method to seg-ment the fingerprint images was proposed based on the maximum between-class variance and sub-block processing of the traditional variance segmenting.And the adaptive filtering was used to smooth the ridge and boundary contours of fingerprint images in this method.The test re-sults indicate that,compared with the traditional segmenting algorithms,the proposed method can segment better the fingerprint images that contain many impurities and stains in practice.

关 键 词：指纹识别 图像分割 图像预处理 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]