Exhaustive Security System Based on Face Recognition Incorporated with Number Plate Identification using Optical Character Recognition

M. Y. Zaheen, Zia Mohi-u-din, Ali Akber Siddique, M. T. Qadri
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引用次数: 3

Abstract

In recent times due to rise in terrorism, people need to live in a safer place where unidentified persons will not be allowed to enter in the premises. Securing of major areas is a vital issue that needs to be addressed for the intelligence and security agencies. At the surrounding of premises, CCTV (CloseCircuit Television) cameras are usually installed to identify the number plate from database by using OCR (Optical Character Recognition) algorithm. This method of security by identifying only vehicle without verifying the person inside it is usually causing serious security issues. Identification of a person is usually done through image processing by using Viola Jones algorithm and acquire the information of the facial components to create a dataset for machine learning. It is imperative to introduce such a system that will be capable to identify the person along with the number plate of vehicle from the stored database. In this research, a comprehensive security system based on face recognition integrated with the vehicle number plate is proposed. The combined information of both dedicated cameras is then transferred to the based station for identification. This system is capable, of securing premises from crime in a more enhanced way.
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基于人脸识别与车牌光学字符识别相结合的穷尽安防系统
最近由于恐怖主义的增加,人们需要住在一个更安全的地方,不允许身份不明的人进入房屋。确保主要地区的安全是情报和安全机构需要解决的一个重要问题。在楼宇周围通常安装闭路电视(CCTV)摄像机,利用OCR(光学字符识别)算法从数据库中识别车牌。这种只识别车辆而不验证车内人员的安全方法通常会导致严重的安全问题。对人的识别通常是通过使用Viola Jones算法对图像进行处理,获取面部成分的信息,创建一个数据集用于机器学习。引入这样一个能够从存储的数据库中识别人和车辆号牌的系统是势在必行的。在本研究中,提出了一种基于人脸识别和车牌集成的综合安全系统。然后将两个专用摄像机的组合信息传输到基站进行识别。这个系统能够以更强的方式保护房屋免受犯罪。
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