微型机与应用2011，Vol.30Issue(21)：37-39,3.
一种新的指纹图像合成分割法
A new compound segmenting method on fingerprint image
摘要
Abstract
After investigating and analyzing the traditional variance method and the maximum between-cluster variance, this paper presents a new approach to segment the fingerprint images based on the maximum between-cluster variance and sub-block processing of the traditional variance segmenting. The method firstly calculates the variance of the fingerprint image and each subblock. Traditional variance is used to segment the image if the variance of each sub-block is less than the variance of the entire image. Otherwise, the OTSU method is used and finally smooth the fingerprint image. The experimental results indicate that this method does not need to choose the threshold with the experience compared with the traditional methods, and the can accurately separate the prospects from context. This method performs well on both of the fingerprint images with high and low contrast. The segment algorithm not only provides good segment result but also is robust to reduce noise.关键词
指纹图像分割/灰度方差/最大类间方差Key words
fingerprint images segmentation/gray variance/MBV分类
计算机与自动化引用本文复制引用
王玉杰,徐荣青,王斌斌,关丽,潘欣艳,崔媛媛..一种新的指纹图像合成分割法[J].微型机与应用,2011,30(21):37-39,3.基金项目
国家自然科学基金项目 （）
