自动识别车牌

Tanushri Bhagat, Rahul Thakur
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引用次数: 5

摘要

随着我们的生活随着物联网而变得自动化,机器学习获得准确的结果非常重要。本文研究了自动车牌识别(ALPR),使用各种Python库来识别图像和视频上的信息。我们将讨论一种新的图像处理方法,该方法将用于视频中的印度车牌识别。此外,它将解释该系统在印度的需求,以及高强度图像的重要性,以便检测它们。并对未来的发展前景进行了展望,以加强现有的工作模式,保持个人数据的安全和隐私。稍后,它可以与VAHAN和SARTHI的数据库连接,以便对车辆所有者和其他必要信息作出快速反应。ALPR系统使用本地二进制模式算法检测,然后使用beanstald队列使用HTTP服务器进行识别,从而完成软件实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Recognition of License Plates
As our lives are getting automated with the Internet of Things, Machine Learning it is very important to get accurate results. This paper is a study of Automatic License Plate Recognition (ALPR) using various Python libraries and hence recognize the information on images and videos. We will discuss a novel image processing method which will be used for the recognition of Indian Number Plate Recognition in videos. Further, it will explain about the need of this system in India and also the importance of high intensity images so as to detect them. Also, some future prospects are proposed which will enhance the current working model keeping intact the security and privacy of the data of people. It can later be linked with the database of VAHAN and SARTHI for quick responses regarding the owner of the vehicle and other necessary information. The ALPR system is detected using Local Binary Pattern algorithm and is subsequently recognized using HTTP server using beanstalkd queue thus making a complete software implementation.
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