发布时间 : 星期六 文章毕业设计（论文）-基于matlab的人脸识别 - 图文更新完毕开始阅读0d1d576e876fb84ae45c3b3567ec102de2bddfb3
华北水利水电大学毕业设计
4.2 PCA算法的功能实现 ............................................................................................. 17
4.2.1 人脸空间的建立 .......................................................................................... 17 4.2.2 特征向量的选取 ........................................................................................ 17
4.2.3 人脸识别 ...................................................................................................... 17
4.3 主成分分析法的计算 .............................................................................................. 18 4.4 特征脸算法 ............................................................................................................. 20 第5章 图像的特征提取与分析 .......................................................................................... 22
5.1 概述 ......................................................................................................................... 22
5.1.1 特征提取 ...................................................................................................... 22 5.1.2 特征选择 ...................................................................................................... 22 5.2 颜色视觉和色度图 .................................................................................................. 22 5.3 颜色模型 ................................................................................................................. 23
5.3.1 RGB模型....................................................................................................... 23 5.3.2 CMY模型....................................................................................................... 24
5.3.3 HSI模型 ....................................................................................................... 25 5.4 形状特征描述 ......................................................................................................... 25
5.4.1 像素的邻域 .................................................................................................. 25 5.4.2 像素的连接 .................................................................................................. 25 5.4.3 区域内部的空间域分析 .............................................................................. 26 5.5 图形的预处理.......................................................................................................... 27
5.5.1 膨胀与腐蚀 .................................................................................................. 27 5.5.2 骨架化和边缘检测 ...................................................................................... 27
第6章 人脸识别 ................................................................................................................. 30
6.1 人脸库的建立.......................................................................................................... 29 6.2 采集人脸特征的多元信息 ...................................................................................... 30 6.3 人脸的识别 ............................................................................................................. 31 6.4 人脸识别的总结 ...................................................................................................... 33
- II -
华北水利水电大学毕业设计
总 结 ....................................................................................................................................... 34 参考文献 ................................................................................................................................. 35 致 谢 ....................................................................................................................................... 36 附录 ......................................................................................................................................... 37
- - III
华北水利水电大学毕业设计
基于Matlab的人脸识别
摘要
计算机时代的到来，给各个领域带来了巨大的变革，人们的生活也日益进入到了数字编码时代。人工智能学的发展及其广泛的使用令图片处理和模式识别技术已显得尤为重要。人脸识别技术就是基于生物识别理论而发展而来的。人脸识别技术是生物识别中的典型，有着远大的发展前景，人脸识别技术已经广泛应用到了涉密部门的门禁系统，车站、机场的安检系统，智能家居防盗系统，国防与军事安全部门等众多领域。
人脸识别技术是模式识别领域的一个较为先前的课题，如今已日益成熟。人脸识别技术是根据已经建数据库中的人脸图像，以计算机技术为基础，从待识别的图像中分析、提取出图像特征并与已知图像库进行比较，从而达到辨识的目的。
人脸识别的主要流程为：人脸图像的获取、人脸特征的检测、人脸特征的提取、图形的预处理、人脸的识别及身份验证。
本文主要使用MATLAB上数字图像处理功能，对待识别的图像进行读图、存储和识别。MATLAB中带有有关数字图像处理的应用工具箱，可以实现人脸的简单特征识别与辨识，进而应用到人脸识别系统。本文主要采用基于主元分析（PCA）（也称为主成分分析）的人脸识别算法，抓住事物的主要方面分析，利用降维原理，进行人脸特征的提取、辨识。最后通过真人的人脸检测与辨识，取到一定的成果。 关键词： MATLAB，人脸辨识，人脸特征，主成分分析法
- - IV
华北水利水电大学毕业设计
Matlab-Based Face Identification
Abstract
The advent of the computer era has brought about great changes in all fields. People's lives have entered into the era of digital coding. With the development and wide application of artificial intelligence, pattern recognition technology and image processing technology are becoming more and more important.
Face recognition technology is a more previous topic in the field of pattern recognition, and it has become more and more mature. Face recognition technology is according to the established database of face images, taking technology of the computer based, in recognition of image analysis, extract image features and compared to identify with the known image library.
This paper mainly uses the MATLAB digital image processing, image recognition, image to storage, identification. MATLAB with the application of digital image processing toolbox, you can achieve a simple face recognition and identification of human face. In this paper, based on the principal component analysis of face recognition algorithm, face feature extraction, identification. Finally, the human face detection and recognition, and achieved certain results.
Key words: MATLAB, face recognition, face feature, principal component analysis
- V -