基于人脸识别算法的智能安全检查系统综述

Lateefah Abdul-azeez, A. Aibinu, Sodiq Olanrewaju Akanmu, T. A. Folorunso, M. Salami
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引用次数: 1

摘要

最著名的生物识别技术之一是面部识别,它通过对个人面部特征的统计测量来发现或确定他/她的身份。人是容易犯错或出错的,因此,只使用保安人员并不能给我们一个完善的安全机制。本文阐述了生物识别技术的重要性,并介绍了生物识别技术应用于解决各种问题的各种方法。重点介绍了人脸识别和人脸检测技术,包括主成分分析(PCA)、隐马尔可夫模型(HMM)和离散小波变换(DWT)。它简要地解释了如何利用面部的对称性来进行识别,人脸识别中音频和视频的结合,并展示了在视频中可以检测到人脸。它还显示了所使用的每种方法的优点和缺点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligence Security Check System Using Face Recognition Algorithm: A Review
One of the famous biometric in use is the facial recognition, which uses statistical measurement of an individual face features to discover or determine his/her identity. Human are prone to errors or mistakes, therefore, using only security personnel cannot give us a perfect security mechanism. This paper explains the importance of biometric and also present various methods which biometric application can applied in solving various problem. It focuses on face recognition and face detection techniques which include Principle Components Analysis (PCA), Hidden Markov Model (HMM), and the Discrete Wavelet Transform (DWT). It briefly explains how the use of symmetry of the face can be used for recognition, the combination of audio and video in face recognition and also show that a face can be detected in a video. It also shows the various strengths and weaknesses from each method used.
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