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License plate location method based on edge detection and mathematical morphology

机译：基于边缘检测和数学形态学的车牌定位方法

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摘要

The license plate location plays a key role in the license plate recognition system. The quality of the positioning result determines the subsequent license plate character recognition. For the image based on edge detection, it is difficult to detect the license plate area for the discoloration or serious pollution of the license plate. Therefore, a license plate location method based on edge detection and mathematical morphology is proposed. Firstly, the image preprocessing of the license plate includes graying and binarization. Then, the Sobel operator edge detection is performed according to the binarized license plate image. The Sobel operator has moderate sensitivity to the edge and is suitable for the extraction of the license plate edge. Finally, On the result of Sobel operator processing, the mathematical morphology of corrosion, expansion, opening and closing operations are performed to obtain the final license plate location.
机译：车牌位置在车牌识别系统中起着关键作用。定位结果的质量决定了随后的车牌字符识别。对于基于边缘检测的图像，难以检测到牌照区域的变色或严重污染的牌照。因此，提出了一种基于边缘检测和数学形态学的车牌定位方法。首先，车牌的图像预处理包括灰化和二值化。然后，根据二值化的车牌图像执行Sobel操作员边缘检测。 Sobel操作员对边缘的敏感度适中，适合提取车牌边缘。最后，根据Sobel操作员的处理结果，执行腐蚀，膨胀，打开和关闭操作的数学形态，以获得最终的车牌位置。

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