数据降维的人脸识别算法的分析(源码)
摘要：人脸识别是模式识别领域的一个活跃的课题，随着安全入口和信息保密等需要的增加，越来越受到重视，可帮助警方用于安全控制、网络安全、公司考勤、隐私防护等，但是现在已有的人脸识别算法总是面临着这样或者那样的局限，受制于数据的特征，不能得到理想的识别效果。本文实现了目前流行的PCA（主成分分析）和LBP（局部二值化）算法，并分析了各自的数学原理、识别方式、对数据处理的方式、优势及相应的局限性，通过研究与分析，对两种算法有了深刻的理解，并展望了人脸识别算法的前景。
目录
摘要 １
关键字 １
Abstract １
引言
引言
1．选题背景 １
1.1 问题的提出 １
1.1.1 人脸识别的概念 １
1.1.2 人脸识别的发展历程 ２
1.2 国内外研究状况 ２
1.2.1 国外研究状况 ２
1.2.2 国内研究状况 ２
1.3 研究的目的和内容 ２
2. 图片来源及处理过程 ２
2.1 ORL人脸库简介 ２
2.2 人脸图片处理流程 ３
3．算法原理 ３
3.1 PCA算法 ３
3.1.1 PCA算法的概念 ３
3.1.2 PCA算法的原理 ４
3.1.3 PCA算法步骤 ４
3.1.4 PCA重构的原理 ５
3.2 LBP算法 ５
3.2.1 LBP算法的概念 ５
3.2.2 LBP算法的步骤 ５
3.２.3 LBP_１算法原理 ６
3.２.4 LBP_PCA算法原理 ６
4. 数据分析 ７
4.1 PCA算法 ７
4.1.1 实验数据 ７
4.1.2 数据分析 ８
4.2 LBP算法 ９
4.2.1 实验数据 ９
4.2.2 数据分析 ９
4.3 综合分析 １０
5. 程序运行示例 １１
6．展望 １４
*好棒文|www.hbsrm.com +Q: %3^5`1^9`1^6^0`7^2#
致谢 １５
参考文献 １５
基于数据降维的人脸识别算法的分析
The Face Recognition Algorithm Based on Data Dimension Reduction Analysis
Student majoring in computer science and technology Yin Huange
Tutor Huang Fen
Abstract：With the growing demands of the security entrance and the information privacy and so on, more and more people have attached importance to the face recognition, the face recognition is an active subject in the field of the pattern recognition ,and this technology has applied in many fields, such as helping the police to control the security of some important situations, ensuring the security of network, helping the company to inspect the attendance of staff, and protecting privacy of average persons and so on, however, the existing face recognition algorithm is always faced with some limitations, for instance, at the limit of the characteristics of data, the existing face recognition algorithm can not get the ideal effect of face recognition. This study has realized the current epidemic face recognition algorithm, including PCA (Principal Component Analysis) algorithm and LBP (Local Binary Patterns) algorithm, and has analyzed their respective mathematical principle, the way of themselves to identify face, the way of themselves to process data, their respective strengths and limitations of the corresponding, in addition, with the research and the analysis for algorithms, finally has completed the deep understanding of two kinds of algorithm and identified the prospects of the face recognition algorithm.
Key words: PCA; LBP; gray processing
引言
1．选题背景
1.1 问题的提出
安全入口控制的需求在增加，生物识别技术得到了更多的重视，如人脸检测辨别等等，大量应用于公共安全，金融安全，物业管理，公司考勤等。
1.1.1 人脸识别的概念
人脸识别可以这样说明：给出一张图片或视频，利用所保存的数据辨别出来或确定身份若干个人。在计算机视觉领域，人脸识别的过程分为检测人脸，提取特征，还有辨别三步组成[1]。
1.1.2 人脸识别的发展历程
进入上世纪90年代后，人脸识别作为一个新兴学科，发展迅速。全世界对人脸识别的学习过程大致经过了三步[２]。
目录
摘要 １
关键字 １
Abstract １
引言
引言
1．选题背景 １
1.1 问题的提出 １
1.1.1 人脸识别的概念 １
1.1.2 人脸识别的发展历程 ２
1.2 国内外研究状况 ２
1.2.1 国外研究状况 ２
1.2.2 国内研究状况 ２
1.3 研究的目的和内容 ２
2. 图片来源及处理过程 ２
2.1 ORL人脸库简介 ２
2.2 人脸图片处理流程 ３
3．算法原理 ３
3.1 PCA算法 ３
3.1.1 PCA算法的概念 ３
3.1.2 PCA算法的原理 ４
3.1.3 PCA算法步骤 ４
3.1.4 PCA重构的原理 ５
3.2 LBP算法 ５
3.2.1 LBP算法的概念 ５
3.2.2 LBP算法的步骤 ５
3.２.3 LBP_１算法原理 ６
3.２.4 LBP_PCA算法原理 ６
4. 数据分析 ７
4.1 PCA算法 ７
4.1.1 实验数据 ７
4.1.2 数据分析 ８
4.2 LBP算法 ９
4.2.1 实验数据 ９
4.2.2 数据分析 ９
4.3 综合分析 １０
5. 程序运行示例 １１
6．展望 １４
*好棒文|www.hbsrm.com +Q: %3^5`1^9`1^6^0`7^2#
致谢 １５
参考文献 １５
基于数据降维的人脸识别算法的分析
The Face Recognition Algorithm Based on Data Dimension Reduction Analysis
Student majoring in computer science and technology Yin Huange
Tutor Huang Fen
Abstract：With the growing demands of the security entrance and the information privacy and so on, more and more people have attached importance to the face recognition, the face recognition is an active subject in the field of the pattern recognition ,and this technology has applied in many fields, such as helping the police to control the security of some important situations, ensuring the security of network, helping the company to inspect the attendance of staff, and protecting privacy of average persons and so on, however, the existing face recognition algorithm is always faced with some limitations, for instance, at the limit of the characteristics of data, the existing face recognition algorithm can not get the ideal effect of face recognition. This study has realized the current epidemic face recognition algorithm, including PCA (Principal Component Analysis) algorithm and LBP (Local Binary Patterns) algorithm, and has analyzed their respective mathematical principle, the way of themselves to identify face, the way of themselves to process data, their respective strengths and limitations of the corresponding, in addition, with the research and the analysis for algorithms, finally has completed the deep understanding of two kinds of algorithm and identified the prospects of the face recognition algorithm.
Key words: PCA; LBP; gray processing
引言
1．选题背景
1.1 问题的提出
安全入口控制的需求在增加，生物识别技术得到了更多的重视，如人脸检测辨别等等，大量应用于公共安全，金融安全，物业管理，公司考勤等。
1.1.1 人脸识别的概念
人脸识别可以这样说明：给出一张图片或视频，利用所保存的数据辨别出来或确定身份若干个人。在计算机视觉领域，人脸识别的过程分为检测人脸，提取特征，还有辨别三步组成[1]。
1.1.2 人脸识别的发展历程
进入上世纪90年代后，人脸识别作为一个新兴学科，发展迅速。全世界对人脸识别的学习过程大致经过了三步[２]。
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