Vehicle license plate slant correction based on mathematical morphology and Radon transformation

2010 ◽  
Author(s):  
Li-xia Gong ◽  
Hong-ping Hu ◽  
Yan-ping Bai
Keyword(s):  
Mathematical Morphology ◽  
License Plate ◽  
Radon Transformation

A Kind of Car License Plate Location Based on Color Feature and Mathematical Morphology

2013 ◽  
Vol 671-674 ◽  
pp. 2851-2854 ◽  
Author(s):  
Hong Ping Hu ◽  
Yan Ping Bai
Keyword(s):  
Edge Detection ◽  
Mathematical Morphology ◽  
License Plate ◽  
Color Feature ◽  
Radon Transformation ◽  
License Plate Location ◽  
Plate Location ◽  
Blue Background

The proposed method of the license plate location is based on mathematical morphology, color feature and edge detection. It consists of two parts on raw location of license plate and refined location of license plate. In the raw location part, resize the image into the same size, consider the relation of R, G, B components in the image to deal with the noise, detect the edge and use the operations of mathematical morphology repeatedly to obtain the license plate candidate, obtain the raw location by the up-down bound and left-right bound of the license plate. In the refined location part, for the obtained raw location of the license plate, use Radon transformation, edge detection, use the operations of mathematical morphology, find the up-down bound and left-right bound so that the refined location of the license plate is obtained. It is shown that the proposed method is suit for the Chinese license plate with white character and blue background.

Research on Pre-Processing Methods for License Plate Recognition

2021 ◽  
Vol 11 (1) ◽  
pp. 47-79
Author(s):  
Weifang Zhai ◽  
Terry Gao ◽  
Juan Feng
Keyword(s):  
Edge Detection ◽  
Mathematical Morphology ◽  
Traffic Management ◽  
Recognition System ◽  
Character Segmentation ◽  
License Plate ◽  
License Plate Recognition ◽  
Vertical Projection ◽  
License Plate Location ◽  
Plate Location

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.

Method of License Plate Location Based on Mathematical Morphology and Color Characteristics

2014 ◽  
Vol 602-605 ◽  
pp. 2263-2266
Author(s):  
Ning Lian ◽  
Yan Lei Xu
Keyword(s):  
Mathematical Morphology ◽  
New Method ◽  
License Plate ◽  
License Plate Location ◽  
Color Characteristics ◽  
Image Edge Detection ◽  
Single Method ◽  
Image Edge ◽  
Location Algorithm ◽  
Plate Location

According to restrictions existing in the application of single license plate location algorithm in complicated background. A license plate location algorithm based on mathematical morphology and color characteristics is proposed. Firstly, the new method uses Ostu algorithm to select an optimal threshold, and according to the threshold carries on binary processing, then by using a new method of mathematical morphology for image edge detection. Finally combined mathematical morphology with color characteristic to locate license plate .Experiments show that this new method with higher accuracy and fewer restrictions on background is superior to traditional or a single method and can be widely used.

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