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Using Artificial Bees Colony Algorithm for License Plate Recognition

机译:使用人工蜂殖民地算法进行车牌识别

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In this paper, a new vehicle plate recognition method is proposed using the artificial bee colony algorithm. This method can be implemented in entrance admission, security, airport or harbor cargo control, traffic control. Artificial bee colony algorithm was first introduced by Dervis Karaboga in 2005 for solving numerical optimization problems. ABC algorithm has achieved better results on the optimization problems. We use ABCA on image transformation, enhancement, denoise and BP network. Experimental results showed proposed method is effective and effect.
机译:本文采用人工蜂菌落算法提出了一种新的车辆板识别方法。这种方法可以在入口处,安全,机场或港口货物控制,交通管制方面实施。 2005年首次由Dervis Karaboga引入人造蜂殖民地算法,用于解决数值优化问题。 ABC算法在优化问题上取得了更好的结果。我们在图像转换,增强,丹诺和BP网络上使用ABCA。实验结果表明,提出的方法是有效的和效果。

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