印度ANPR系统使用监控摄像头

A. Singh, Souvik Roy
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引用次数: 10

摘要

车牌识别技术在世界范围内广泛应用于车辆身份识别,车牌大小和字体保持统一,便于识别。特别是在印度实施车牌识别时,出现了很多问题,比如使用了数百种不同形式的字体,车牌大小没有保持不变,五种不同颜色的车牌,双线车牌等。在开发印度车牌识别软件的过程中,所有这些问题都得到了重视,并在印度的真实路况中进行了测试。支持向量机经过训练并用于车牌轮廓的检测。人工神经网络用于车牌字符识别,各种算法用于车牌增强、降噪,最终神经网络在消除大量相机约束的结果中是最有效的。ANPR软件是用c++语言设计的,使用Qt进行GUI设计,OpenCV作为图像处理库,SQL作为数据库管理,使其成为一个完整的软件实现思想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANPR Indian system using surveillance cameras
Number Plate Recognition technique is widely used in identifying vehicle identity across the world where a standard plate size and font are maintained which makes recognition easy. For implementing number plate recognition specifically in India a lot number of issue comes up like hundreds of different forms of fonts being used, size of plate not maintained, five different color number plate, double line number plate etc. All these problems are being taken care while developing a software for Indian number plate recognition and is tested in real Indian road conditions. Support Vector machines are trained & used for detection of number plate contours. ANN is used for character recognition from number plate and various algorithm for plate enhancement, noise reduction and ultimately neural networks are most efficient for result with erasing lot of camera constraints. The ANPR software is designed in C++ using Qt for GUI designing, OpenCV as image processing libraries and SQL as database management thereby making it a complete software implementation of idea.
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