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首页> 外文期刊>International journal of digital crime and forensics >BP-Neural Network for Plate Number Recognition
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BP-Neural Network for Plate Number Recognition

机译：BP神经网络的车牌号识别

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摘要

The License Plate Recognition (LPR) as one crucial part of intelligent traffic systems has been broadly investigated since the boosting of computer vision techniques. The motivation of this paper is to probe in plate number recognition which is an important part of traffic surveillance events. In this paper, locating the number plate is based on edge detection and recognizing the plate numbers is worked on Back-Propagation (BP) Artificial Neural Network (ANN). Furthermore, the authors introduce the system implementation and take advantage of the well-known Matlab platform to delve how to accurately recognize plate numbers. There are 80 samples adopted to test and verify the proposed plate number recognition method. The experimental results demonstrate that the accuracy of the authors' character recognition is above 70%.
机译：自从计算机视觉技术的发展以来，车牌识别（LPR）作为智能交通系统的关键部分已得到了广泛的研究。本文的目的是探究车牌号识别，这是交通监控事件的重要组成部分。在本文中，基于边缘检测来定位车牌，并在反向传播（BP）人工神经网络（ANN）上识别车牌号。此外，作者介绍了系统实现，并利用著名的Matlab平台来研究如何准确识别车牌号。采用了80个样本来测试和验证建议的车牌号识别方法。实验结果表明，作者字符识别的准确率在70％以上。

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