吉林大学学报（理学版）2012，Vol.50Issue(5)：1011-1014,4.
一种改进的Mean Shift指纹图像分割算法
A Fingerprint Image Segmentation Algorithm Based on Improved Mean Shift
摘要
Abstract
After analysis and research on the traditional fingerprint image segmentation algorithm, an improved Mean Shift algorithm for fingerprint image segmentation was introduced. The algorithm makes fully use of the inherent directional characteristics of fingerprint image to abstract each area of fingerprint image after segmenting into a sample point and to consider the grayscale mean value of the pixels within the fingerprint region as the mean vector, thus achieving the fingerprint image segmentation effectively. Experimental results show that the background area and fuzzy algorithm can accurately be separated from fingerprint image with the algorithm. The algorithm improves the accuracy of segmentation and has good accuracy for most of fingerprint images.关键词
指纹图像/图像分割/均值向量Key words
fingerprint image/ image division/ mean vector分类
信息技术与安全科学引用本文复制引用
王科飞,王慧..一种改进的Mean Shift指纹图像分割算法[J].吉林大学学报（理学版）,2012,50(5):1011-1014,4.基金项目
吉林省教育厅“十二五”规划自然科学重点项目基金(批准号:2012370). （批准号:2012370）
