基于遗传算法和特征提取的菲律宾车牌定位

Patrick Matthew J. Chan, John Anthony C. Jose, R. Bedruz, E. Dadios
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引用次数: 2

摘要

本研究的重点是车牌自动识别方案的车牌定位部分。为了实现这一点,该研究利用遗传算法对输入图像进行更系统的搜索;以及定向梯度直方图特征提取技术,以形成遗传算法的适应度函数。当算法被测试时,它能够成功地在每个多个输入图像中定位车牌。事实上,尽管这项研究的重点是2014年系列的车牌,但该程序的结果也表明,它也能够大致定位另一个系列的车牌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Philippine License Plate Localization Using Genetic Algorithm and Feature Extraction
This study aims to focus on the license plate localization portion of an automated license plate recognition scheme. In order to achieve this, the study makes use of a genetic algorithm in order to perform a more systematic search over the input image; as well as Histogram of Oriented Gradients feature extraction technique in order to form the fitness function of the genetic algorithm. When the algorithm was tested, it was able to successfully localize the license plates within each of the multiple input images. In fact, even though the study was focused on 2014 series license plates, the program results also show that it was also able to roughly localize a license plate from another series as well.
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