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Research on Pre-Processing Methods for License Plate Recognition

Research on Pre-Processing Methods for License Plate Recognition

Weifang Zhai, Terry Gao, Juan Feng
Copyright: © 2021 |Volume: 11 |Issue: 1 |Pages: 33
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781799862024|DOI: 10.4018/IJCVIP.2021010104
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MLA

Zhai, Weifang, et al. "Research on Pre-Processing Methods for License Plate Recognition." IJCVIP vol.11, no.1 2021: pp.47-79. http://doi.org/10.4018/IJCVIP.2021010104

APA

Zhai, W., Gao, T., & Feng, J. (2021). Research on Pre-Processing Methods for License Plate Recognition. International Journal of Computer Vision and Image Processing (IJCVIP), 11(1), 47-79. http://doi.org/10.4018/IJCVIP.2021010104

Chicago

Zhai, Weifang, Terry Gao, and Juan Feng. "Research on Pre-Processing Methods for License Plate Recognition," International Journal of Computer Vision and Image Processing (IJCVIP) 11, no.1: 47-79. http://doi.org/10.4018/IJCVIP.2021010104

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Abstract

The license plate recognition technology is an important part of the construction of an intelligent traffic management system. This paper mainly researches the image preprocessing, license plate location, and character segmentation in the license plate recognition system. In the preprocessing part of the image, the edge detection method based on convolutional neural network (CNN) is used for edge detection. In the design of the license plate location, this paper proposes a location method based on a combination of mathematical morphology and statistical jump points. First, the license plate area is initially located using mathematical morphology-related operations and then the location of the license plate is accurately located using statistical jump points. Finally, the plate with tilt is corrected. In the process of character segmentation, the border and delimiter are first removed, then the character vertical projection method and the character boundary are used to segment the character for actually using cases.

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