License plate extraction and character segmentation in haze weather

Hongmei Li

doi:10.1117/12.2600359

1 June 2021 License plate extraction and character segmentation in haze weather

Hongmei Li

Proceedings Volume 11848, International Conference on Signal Image Processing and Communication (ICSIPC 2021); 118481L (2021) https://doi.org/10.1117/12.2600359
Event: International Conference on Signal Image Processing and Communication (ICSIPC 2021), 2021, Chengdu, China

Abstract

In order to facilitate the post-processing, the existing license plate recognition system is difficult to effectively locate and recognize the license plate when encountering complex conditions, such as haze and low visibility, in the implementation, the extracted vehicle image is first defogged, and the image obtained under the haze weather is optimized. In the processing of the license plate image, the image is preprocessed. In order to reduce the amount of calculation, the color and other information unrelated to the license plate extraction are removed. After the license plate information is extracted from the image, the Hough transform is used to correct the image inclination. Then use the drawn horizontal histogram and vertical histogram to remove the edges of the license plate, and finally segment the license plate characters. The segmentation result is normalized to the specified size and saved in the specified file for post-processing.

Citation Download Citation

Hongmei Li "License plate extraction and character segmentation in haze weather", Proc. SPIE 11848, International Conference on Signal Image Processing and Communication (ICSIPC 2021), 118481L (1 June 2021); https://doi.org/10.1117/12.2600359

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