摘要
提出了一种基于指纹特征编码的指纹识别算法.首先求得指纹图象的中心点,然后利用Gabor滤波器的频率和方向选择性,产生指纹编码,最后通过比较输入图象的编码和模板编码间的欧氏距离进行识别.实验结果表明:该算法与已有的基于灰度偏差的算法相比较,具有更高的识别率.
The paper puts we get the center point of forward a fingerprint identification arithmetic based on fingerprint feature coding. First, fingerprint image, then we produce fingerprint coding by use of Gabor filtration frequency and direction choice, lastly we contrast the input image coding and model coding Euler' s distance to make identification. The result shows that the arithmetic, comparing with former arithmetic based on gray scale bias has more high identification rate.
出处
《湘南学院学报》
2010年第2期87-90,共4页
Journal of Xiangnan University
关键词
指纹识别
GABOR滤波
指纹编码
fingerprint identification
Gabor filtration
fingerprint coding