基于概率化模板和模糊逻辑的掌纹识别算法  

Palmprint Recognition Based on Probability Template and Fuzzy Logic

作　　者：竺乐庆[1,2] 张三元[1] 张引[1] 叶修梓[1] 

机构地区：[1]浙江大学计算机科学与技术学院,杭州310027 [2]浙江工商大学计算机科学与信息工程学院,杭州300018

出　　处：《模式识别与人工智能》2009年第3期468-474,共7页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金项目(No.60473106);国家863计划项目(No.2007AA01Z311;2007AA04Z1A5);教育部博士学科点基金项目(No.20060335114);浙江省科技计划项目(No.2007C21006)资助

摘　　要：提出一种基于主纹线的掌纹识别算法.该算法根据先验知识用不规则几何形状提取主纹线区域,有效过滤粗大噪声影响.提取的主纹线既保留位置结构信息,又保留纹线的强度信息,使提取的特征信息更完备.并提出概率化主纹线特征的概念,抑制特征纹线上随机点造成的影响.用信息融合的方法来存储模板,把来自同一手掌的多个训练样本提取得到的主纹线特征融合在一个模板内,在保证模板库中特征信息完整性的同时提高匹配的时间效率.匹配算法采用模糊逻辑的方法.实验证明,用该算法进行掌纹识别取得较高的验证精度和辨识精度.A pahnprint recognition algorithm is proposed based on principal palm lines. According to the previous knowledge, an irregular geometrical shape is used to get the valid region to decrease the interference of bulky noises. The information about the positions and structures of palm lines and the intensity are included in the final extracted principal lines. Thus, sufficient clues are provided for pahnprint recognition. A conception of probability template of principal lines is presented, which suppresses the influence of random noises. Features of several training samples are merged into one template to guarantee the integrity of features and improve the matching efficiency. Fuzzy logic is adopted in the matching algorithm. Experimental resuhs show that the palmprints can be verified and distinguished with high precision by the proposed method.

关 键 词：掌纹识别 主纹线 CANNY算法 概率化特征图 特征融合 模糊逻辑 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]