基于ARM9与Linux的人脸识别门禁系统设计  

The Design of Door Security System for Face Recognition Based on ARM9 & Linux

作　　者：刘巍[1] 汪兆栋[1] 

机构地区：[1]景德镇学院机械电子工程系,江西景德镇333000

出　　处：《萍乡学院学报》2015年第3期37-40,共4页Journal of Pingxiang University

摘　　要：针对现有门禁系统中存在的技术缺陷、维护成本高等问题,本文设计了一套基于ARM+Linux的人脸识别门禁系统。该系统采用S3C2410芯片为处理器、IP网络摄像头作为视频采集设备;采用PCA算法进行人脸图像识别,并以识别输出来控制电控锁模块,从而实现人脸识别门禁系统的智能控制。最后,在不同的环境下进行了人脸识别测试,测试结果表明,该系统能准确快速高效地识别人脸,平均识别率高达99%。Aiming at these problems existing in the current entrance guard system, such as technical shortcomings and expensive maintenance cost, this paper designs a face recognition access system based on ARM9 and Linux. The S3C2410 chip and IP network camera are chosen as processor and video acquisition devices respectively. Then, the facial image recognition is implemented by the PCA algorithm and the electric lock module is controlled by utilizing therecognition output, and thus an intelligent control of face recognition entrance guard system is realized. Finally, sufficient facial recognition tests are performed under different environments, and the test results show that the system can recognize faces accurately, quickly, efficiently, and the average recognition rate reaches up to 99%.

关 键 词：OPENCV QT 人脸识别 ARM9 LINUX PCA算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]