文档介绍：摘要
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别。
关键词: 人脸识别,特征脸,主成分分析
作者:张帆
指导老师:王震宇
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 payed great recongnition is an ponent of biometrics and in all kinds of methods,it is also one of the most active and challenging tasks puter vision and pattern recognition in recent 30 recognition has a wide range of potential app1ications in the areas of 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 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 ponents Analysis(PCA),K-L translation,and realized it via eigenface method.
Key Words: Face Recongnition, Eigenface, ponent Analysis
目录
摘要……………………………………………………………………Ⅰ
ABSTRACT……………………………………………………………………Ⅱ
前言………………………………………………………………………… 1
第1章人脸识别技术概述…………………………………………………3
……………………………3
………………………………4
……………………………………… 5
………………………………………………… 7
第2章人脸识别的常用算法与分类绍………………………………… 8
…………………………………………… 8
分类器介绍…………………………………………………… 10
第3章基于pca的人脸识别系统的设计和实现…………………… 12
……………………………………………… 12
kl变换和pca分析……………………………………………14
………………………………………………14
K-L变换………………………………………………15
pca分析…………………………………………………16
人脸识别pca方法的步骤和流程…………………………… 1