基于OpenCV的人脸识别设计与实现

Design and Implementation of Face Recognition Based on OpenCV

人脸识别作为一种发展迅猛的生物特征识别技术,被广泛应用于安防、信息识别等多种领域,通常一套商用的人脸识别系统价格昂贵而且搭建困难.针对这个问题,本文立足实用和廉价的思想,开发一套能够快速在树莓派中搭建的人脸识别系统.该系统基于OpenCV库,采用人脸级联分类器和LPBH算法,并设计所对应阶段的逻辑框架,最后结合逻辑框架运用Python语言编写并验证本文设计的人脸识别系统。

As a rapid development of biometric recognition technology,face recognition is widely used in many fields,such as security,information recognition and so on.In order to solve this problem,based on the practical and cheap idea,this paper develops a set of real-time face recognition system in raspberry pie.The system is based on OpenCV library,adopts face cascade classifier and lpbh algorithm,and designs the corresponding logical framework.Finally,it uses Python language to compile and verify the face recognition system designed in this paper.