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首页> 外文期刊>Journal of visual communication & image representation >Multiwavelet transform based license plate detection
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Multiwavelet transform based license plate detection

机译：基于多小波变换的车牌检测

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The presented framework uses the localization concept of multiwavelet transform and empirical mode decomposition (EMD) to locate number plate from vehicle. Multiwavelet transform is similar to wavelet transform but unlike wavelet, it simultaneously provides orthogonality, symmetry, short -support and vanishing moment. Multiwavelet is used to decompose the image and EMD helps to find the actual wave crest from the projected information provided by multiwavelet transform. The effectiveness of the proposed algorithm is improvised using pre- and post-processing steps which include image enhancement and skew correction respectively. Proposed algorithm has also been tested on single and double line number plate. The performance of the proposed algorithm has been tested on various countries' number plates like Croatia, Austria, France, India and Greece, and in various conditions like shadow, dirt and blurry. Proposed algorithm has detected number plate with high accuracy and in relatively less time. (C) 2017 Elsevier Inc. All rights reserved.
机译：提出的框架使用多小波变换和经验模式分解（EMD）的定位概念来定位车辆的车牌。多小波变换类似于小波变换，但与小波不同，它同时提供正交性，对称性，短支持和消失矩。多小波用于分解图像，EMD有助于从多小波变换提供的投影信息中找到实际的波峰。使用包括图像增强和偏斜校正在内的预处理和后处理步骤改进了所提算法的有效性。提议的算法也已在单行和双行车牌上进行了测试。该算法的性能已经在克罗地亚，奥地利，法国，印度和希腊等不同国家的车牌上进行了测试，并且在阴影，灰尘和模糊等各种条件下进行了测试。所提出的算法已经以相对较少的时间检测到了准确的车牌。 （C）2017 Elsevier Inc.保留所有权利。

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