摘要
指纹的唯一性和不变性决定了它在身份认证中的重要地位,文章在指纹的身份验证中采用一种新的算法,分两步进行特征提取和特征匹配,先提取指纹奇异点,进行粗匹配;再利用指纹的统计信息提取特征,进行进一步的匹配。
Fingerprint has important state in identity verification for it＇s exclusivity and invariability. In this paper, We use a new algorithm to extract and match fingerprint character in two pace. First, extract the singular points and then do a preparatory match. Then, extract feature and do a further match make use of statistical information of fingerprint.
出处
《信息安全与通信保密》
2006年第4期73-75,共3页
Information Security and Communications Privacy
关键词
奇异点
特征提取
广义高斯分布
粗匹配
singular points feature extraction generalized gaussian distribution
