基于灰度均衡的指纹图像分割算法  

Fingerprint image segmentation algorithm based on gray balance

作　　者：胡涛[1] 林家骐[1] 

机构地区：[1]西安理工大学信息科学系,西安710048

出　　处：《计算机工程与应用》2007年第24期205-207,共3页Computer Engineering and Applications

摘　　要：针对MBF200芯片指纹采集器采集的指纹图像的特点,提出了一种新的指纹图像分割方法。该方法简单实用,能快速而有效的分割指纹图像,符合指纹识别系统的实时性要求。首先对指纹图像进行灰度均衡处理,然后根据图像的灰度特征对指纹图像进行分块分割,最后应用数学形态学修复指纹图像的前景边缘。使用该方法对研究室自行设计的MBF200半导体指纹采集器采集到的指纹图像,进行大量的测试。实验结果表明,该方法对这种类型的指纹图像分割是有效的。This paper in view of the characteristic of fingerprint images by MBF200 chip fingerprint gathering,proposes a new method of fingerprint image segmentation.The method,which can segment fingerprint images,is simple,rapid and effective,and meets the real-time requirements of fingerprint identification system.First,the gray balance processing for fingerprint images can be done by this method.And then,this method subdivides the fingerprint images according to the characteristics of the gray-scale images.Finally,fingerprint marginal prospects are amended using the way of mathematical morphology.The method is used to carry on the massive tests with fingerprint images by MBF200 semiconductor fingerprint gathering,which is designed by this laboratory independently.The experimental results show that the method for this type of fingerprint image segmentation is effective.

关 键 词：MBF200指纹分割灰度均衡灰度特征数学形态学 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]