摘要
在分析2种传统指纹分割方法的基础上,提出了一种自适应分区处理的指纹图像分割方法.该方法采用双行双列扫描对每幅指纹图像自适应地划分边框区和中心区的大小,然后对边框区作去背景,对中心区结合方差法进行分割.实验结果表明,该方法能准确地对一类指纹进行分割处理,提高了分割效率,对噪声也有明显的分割效果.
Based on analyzing the two conventional segmentations of fingerprint images, a method of fingerprint images segmentation was presented in terms of the subarea processing. It utilized self-adaptive two-row and two-column scanning algorithm, ascertained the size of edge area and center area according for each fingerprint image, the edge area was segmented as background, and then the center area was segmented by combining the gray variance method. Experimental results show that this method can segment a kind of fingerprint images correctly, which enhances the efficiency of segmentation time, and even has better effect on noise segmentation.
出处
《空军雷达学院学报》
2008年第3期215-217,共3页
Journal of Air Force Radar Academy
关键词
指纹
指纹分割
自适应
分区
灰度方差
fingerprint
fingerprint segmentation
self-adaption
subarea
gray variance
作者简介
徐洞成（1984-），男，硕士生，主要从事图像处理与模式识别研究．
