原点静矩向量手背静脉识别技术研究.docVIP

学校代码：10475 学 号：104753070913 河 南 大 学 硕 士 学 位 论 文 基于原点静矩向量的手背静脉 识别技术研究 Research on Hand Vein Recognition Algorithm Based on Origin Static Moment Vector 专业名称： 应用数学 专业代码： 070104 研究方向： 数据挖掘 年 级： 2004级 研究生姓名： 王 艳 导师姓名、职称： 姜保庆（副教授） 完成日期： 2007年5月 摘 要 随着信息时代的到来，信息安全显得越来越重要，许多场合需要对人的身份进行有效的鉴别，生物特征识别技术有效的解决了此类问题。人体手背静脉识别技术作为一种全新的非接触式生物特征识别技术，与以往传统的指纹以及虹膜识别技术相比表现出了许多明显的优势。然而，手背静脉识别技术的研究尚处于刚刚起步阶段，所以对手背静脉识别技术进行深入的研究是 关键词：静脉识别；图像增强；高频加强滤波；特征提取；原点静矩 Abstract With the advent of the information age.information security has become increasingly important.there are many occasions in which the personal authentication is required．There is no doubt that biometrics is one of the most important and effective solutions for this task.As a new biometric recognition，vein recognition has great advantages compared to most current biometric recognition technologies.However,the research of hand vein recognition technology is at the starting stage,so it is very necessary and significant to study the havd vein recognition.In this thesis,some key techniques of hand vein recognition have been investigated deeply, several novel and effective algorithms have been proposed such as image enhancement,feature extraction and feature matching etc.The main work in this thesis call be summarized as follows： (1) The issue on the contrast of gray-scale between hand vein texture and background is studied. Firstly，the region of interest is extracted on the collected image. a method is used to enhance image based on the combination of high-frequency emphasis filtering and histogram equalization. The experimental results demonstrate the target vein of image is clear after image enhancement. The fuzzy index is used to express the degree of improvement for image enhanced. Finally, some threshold segmentation algorithm and the thinning algorithm is investigated. (2) The feature extraction and feature matching of hand vein image is explored. A novel characteristic is extrac