摘要
提出了形态小波变换在指纹图像预处理中图像滤波增强的应用算法,该算法利用低频系数构造了一个扁平结构元素,并通过结构元素作用于高频系数,在保持指纹全局特征的情况下,实现图像的滤波增强效果.实验结果表明该算法在指纹图像预处理中的图像滤波增强效果良好、算法有效.
In this article,the application algorithm in fingerprint image pretreatment based on morphological wavelet transform is put forward. In this algorithm,the authors have constructed a flatten-structure element utilizing the low-frequency parameters,which can affect the high-frequency parameters with the flatten-structure element. In this way we can enhance the fingerprint image with keeping the global texture feature of fingerprint. The experiment results indicate that this increase effect of image-pretreatment in fingerprint identification is good and the algorithm is effective.
出处
《四川师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2009年第5期694-697,共4页
Journal of Sichuan Normal University(Natural Science)
基金
国家自然科学基金(60320001)
英特尔公司基金(HiEd-IXA-425)资助项目
关键词
形态小波变换
指纹图像预处理
数学形态学
Morphological wavelet transform
Fingerprint image pretreatment
Mathematical morphology