人脸识别课程设计论文

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1、 I 摘摘 要要 生物特征识别技术使用了人体本身所固有的生物特征， 与传统的身份识别方 法完全不同，具有更高的安全性、可靠性、和有效性，越来越受到人们的重视。 人脸识别技术作为生物特征识别技术的重要组成部分， 在近三十年里得到了广泛 的关注和研究，已经成为计算机视觉、模式识别领域的研究热点。人脸识别在公 共安全、证件验证、门禁系统、视频监视等领域中都有着广泛的应用前景。 本文是在人脸数据库的基础上做人脸特征提取和识别研究，主要内容如下： （1） 对人脸识别研究的内容、相关技术、主要实现方法及发展历程作了详细 介绍。 （2） 介绍主成分分析法(PCA)、K-L 变换，并利用特征脸方法实现了人脸识

2、 别。 关键词关键词: 人脸识别人脸识别，特征脸特征脸，主成分分析主成分分析 II Abstract Biometics,because of using the proper living creature characteristic of human body,is the totally brand new technique different from traditional personal ideniification method and it has the better safety,dependable with the usefulness,and it was pa

3、yed great attention.Face recongnition is an important component of biometrics and in all kinds of methods,it is also one of the most active and challenging tasks for computer vision and pattern recognition in recent 30 years.Face recognition has a wide range of potential app1ications in the areas of

4、 public security，identification of certificate， entrance control and video surveillanee. This paper mainly studies the approaches to the features extraction and recognition in the face database.The main contents are as follows: (1)Give a full introduce to the contents of face recongnition,related techonology,the main implement methods and its development history. (2)Give a introduce to the Princeple Components Analysis(PCA),K-L translation,and realized it via eigenface method. Key Words: Face