Raspberry Pi and computers-based face detection and recognition system

Ayman A. Wazwaz, Amir O. Herbawi, Mohammad J. Teeti, Sajed Y. Hmeed
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引用次数: 33

Abstract

This paper aims to deploy a network that consists a group of computers connected with a microcomputer with a camera. The system takes images of people, analyze, detect and recognize human faces using image processing algorithms. The system can serve as a security system in public places like Malls, Universities, and airports. It can detect and recognize a human face in different situations and scenarios. This system implements “Boosted Cascade of Simple Features algorithm” to detect human faces. “Local Binary Pattern algorithm” to recognize these faces. Raspberry Pi is the main component connected to a camera for image capturing. All needed programs were written in python. Tests and performance analysis were done to verify the efficiency of this system.
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树莓派和基于计算机的人脸检测和识别系统
本文旨在部署一个网络,该网络由一组计算机与带有摄像头的微型计算机相连。该系统采集人的图像,利用图像处理算法对人脸进行分析、检测和识别。该系统可作为商场、大学、机场等公共场所的安保系统。它可以在不同的情况和场景中检测和识别人脸。该系统实现了“简单特征增强级联算法”来检测人脸。“局部二值模式算法”来识别这些人脸。树莓派是连接相机进行图像捕捉的主要组件。所有需要的程序都是用python编写的。通过测试和性能分析验证了该系统的有效性。
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