基于python+Django人脸表情的分类算法源码数据库论文.docx

摘 要

在当下的数据化的信息时代，人们的日常生活的方方面面都被数字化所覆盖。

而在众多的数字化的应用中，人脸识别是现在在信息验证、密码安全等方面应用

的非常深入和成熟的一项技术。人脸识别的技术已存在有几十年，在过去的几十

年里，研究人员在基本的人脸轮廓识别等方面形成了非常成熟的研究经验沉淀。

在面部表情的识别上也有着非常深度的研究，在人脸的表情识别上，是根据人们

的面部的特征位置，包括眉毛、眼睛、脸型等大小、位置来进行特征的提取，从

关键词：人脸表情识别；Python；django；人脸特征

ABSTRACT

In the current data-based information age, all aspects of people's daily lives are

covered by digitization. In many digital applications, face recognition is a very deep

and mature technology applied in information verification, password security and so

on. Face recognition technology has existed for decades. In the past few decades,

researchers have formed a very mature research experience in basic face contour

recognition. There are also very deep studies on facial expression recognition. In

facial expression recognition, features are extracted according to the location and size

of people's face, including eyebrows, eyes, face size, and so on, and face recognition

in-depth learning and training of the computer, and then the facial expressions are

effectively classified by the classification operation, so as to achieve effective

functional application of facial expression recognition.

Keywords: Face expression recognition; Python; Django; facial feature

目 录

摘 要.......................................................................................................................I

ABSTRACT ..........................................................................................................II

目 录 ..................................................................................................................III

第 1 章 绪论 ..........................................................................................................5

1.1 开发背景 .................................................................................................5

第 2 章 表情识别原理及系统需求分析 ..............................................................8

2.1 基于几何特征的识别方法 .....................................................................8

2.2 基于整体的识别方法 .............................................................................8

2.3 表情识别的要素 ......................................................................................8

2.4 可行性分析 .............................................................................................9

2.5 系统设计的需求分析 ............................................................................10

4.2 表情识别主页面的功能实现 ...............................................................13

4.3 表情管理菜单的实现 ...........................................................................14

4.4 表情类别管理功能的实现 ....................................................................15

第 5 章 系统的调试与测试 ..............................................................................16

5.1 系统的调试 ............................................................................................16

5.2 程序的测试 ............................................................................................16