一种针对不同类型车辆车牌的车牌字符分割新方法

2014 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2014-12-15 DOI:10.1109/ICTC.2014.6983089

Md. Mostafa Kamal Sarker, Moon-Kyou Song

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引用次数: 7

摘要

车牌字符分割(LPCS)是车牌识别(LPR)系统的重要组成部分。LPR系统的精度主要取决于两个方面;即车牌检测(LPD)和LPCS。不同的国家有不同类型和形状的lp。根据人物在LP上的位置，我们可以发现世界上有两种类型的LP，单排(SR)和双排(DR) LP。大多数LPCS方法通常用于SRLP。本文提出了一种针对SR和DR类型lp的新型LPCS方法。实验结果表明了该方法的实时性。本文提出的LPCS方法的准确率为99.05%，平均计算时间为27ms，高于现有的方法。

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A novel license plate character segmentation method for different types of vehicle license plates

License plate character segmentation (LPCS) is a very important part of vehicle license plate recognition (LPR) system. The accuracy of LPR system widely depends on two parts; namely license plate detection (LPD) and LPCS. Different country has different types and shapes of LPs are available. Based on character position on LP, we can find two types of LPs over the world, single row (SR) and double rows (DR) LP. Most of the LPCS methods are generally used for SRLP. This paper proposed a novel LPCS method for SR and DR types of LPs. Experimental results shows the real-time effectiveness of our proposed method. The accuracy of our proposed LPCS method is 99.05% and the average computational time is 27ms which is higher than other existing methods.

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来源期刊

2014 International Conference on Information and Communication Technology Convergence (ICTC)

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