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Sistem Kontrol Akses Berbasis Real TIME Face Recognition Dan Gender Information

机译:基于实时人脸识别和性别信息的门禁系统

摘要

Face recognition and gender information is a computer application for automatically identifying or verifying a person\u27s face from a camera to capture a person\u27s face. It is usually used in access control systemsand it can be compared to other biometrics such as finger print identification system or iris. Many of face recognition algorithms have been developed in recent years. Face recognition system and gender information inthis system based on the Principal Component Analysis method (PCA). Computational method has a simple and fast compared with the use of the method requires a lot of learning, such as artificial neural network. In thisaccess control system, relay used and Arduino controller. In this essay focuses on face recognition and gender - based information in real time using the method of Principal Component Analysis ( PCA ). The result achievedfrom the application design is the identification of a person\u27s face with gender using PCA. The results achieved by the application is face recognition system using PCA can obtain good results the 85 % success rate in face recognition with face images that have been tested by a few people and a fairly high degree of accuracy.
机译:人脸识别和性别信息是一种计算机应用程序,用于从相机自动识别或验证人脸以捕获人脸。它通常用于门禁系统中,并且可以与其他生物识别技术(例如指纹识别系统或虹膜)进行比较。近年来已经开发了许多面部识别算法。基于主成分分析方法(PCA)的人脸识别系统和性别信息。计算方法与使用该方法相比具有简单快捷的方法,需要大量学习,例如人工神经网络。在此访问控制系统中,使用了继电器和Arduino控制器。在本文中,重点介绍了使用主成分分析(PCA)方法实时进行人脸识别和基于性别的信息。从应用程序设计中获得的结果是使用PCA识别人的性别。通过该应用程序获得的结果是,使用PCA的人脸识别系统可以获得良好的结果,该人脸识别的成功率达到了85%,该人脸图像已经由少数人进行了测试,并且准确性很高。

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