人脸识别智能门禁系统的优化设计技术  

Optimization Design Technology of Face Recognition Iintelligent Access Control System

作　　者：张燕[1] 任安虎[2] 王磊[2] Zhang Yan;Ren Anhu;Wang Lei(Shaanxi Polytechnic Institute,Xianyang 712000,China;Xi’an Technological University)

机构地区：[1]陕西工业职业技术学院,咸阳712000 [2]西安工业大学

出　　处：《单片机与嵌入式系统应用》2020年第4期55-58,共4页Microcontrollers & Embedded Systems

基　　金：陕西工业职业技术学院院级科研项目(项目编号:ZK19-13)。

摘　　要：设计了融合人脸识别技术和嵌入式技术的新型智能门禁系统,以Smart210为主控制器,以Linux操作系统为软件开发平台,通过对采集到的人脸图像进行一系列预处理提高了人脸识别算法的抗干扰性,采用Adaboost算法进行人脸检测,融合分块LBP算子和PCA算法进行人脸识别。测试结果表明,系统实现了预定功能,实时性和识别成功率都达到了预期的目标。A new intelligent access control system is designed by integrating face recognition technology and embedded technology.It uses Smart210 as the main controller and Linux as the software development platform.Through a series of preprocessing of collected face images,it improves the anti-interference of face recognition algorithm.The Adaboost algorithm is used for face detection,and block LBP operator and PCA algorithm are used for face recognition.The test results show that the system has achieved the expected functions,real-time performance and recognition success rate.

关 键 词：人脸识别 智能门禁系统 Smart210 ADABOOST算法 PCA算法 

分 类 号：TN914[电子电信—通信与信息系统]