License plate location based on combinatorial feature

Zheng Yan-qing, Liu Dai-ping, Zhang Shu-wen
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引用次数: 2

Abstract

The license plate location is an essential process in the license plate recognition system, and has been studied widely. In view of vehicles image on different background and light densities, this paper presents a license plate location algorithm based on combinatorial feature. Firstly, we propose to preprocess the image of license plate with traditional but rapid method. Secondly, we define some useful features so as to roughly locate the license plate. At last, we repeatedly use the combinatorial feature to obtain the real license plate from many candidates. We design this novel algorithm and integrate it into the project of the license plate recognition system. We implement and evaluate our system in various illumination and background conditions. Through extensive experiments, we show the algorithm of this paper can extract the license plate from the image efficiently and accurately.
基于组合特征的车牌定位
车牌定位是车牌识别系统中的一个重要环节,目前已经得到了广泛的研究。针对不同背景和光密度下的车辆图像,提出了一种基于组合特征的车牌定位算法。首先,提出了对车牌图像进行快速预处理的传统方法。其次,我们定义了一些有用的特征,以便大致定位车牌。最后,我们反复使用组合特征从许多候选车牌中获得真实车牌。我们设计了这种新颖的算法,并将其集成到车牌识别系统的方案中。我们在不同的照明和背景条件下实施和评估我们的系统。通过大量的实验,我们证明了本文的算法可以高效、准确地从图像中提取车牌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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