License plate recognition method, device, and equipment and medium

Abstract

The invention discloses a license plate recognition method, device, and equipment and a medium. The method comprises the steps: acquiring a to-be-recognized license plate image; performing gray processing on the to-be-recognized license plate image to obtain a to-be-recognized gray license plate image; and inputting the to-be-recognized gray license plate image into a license plate recognition model for license plate recognition to obtain a license plate number sequence corresponding to the to-be-recognized gray license plate image. According to a traditional license plate recognition method, characters in a license plate image are segmented by adopting an artificial design algorithm in combination with projection, connection and/or contour extraction and other methods, a single character image is obtained, and then character recognition is performed on the single character image through a classifier, and thus technical problems of low recognition precision and low recognition speed of a subsequent character recognition result caused by the fact that character segmentation quality is easily influenced by factors such as noise, low resolution, blurring or deformation of an input image exist in the prior art are caused. However, with the provided method, the problems in the prior art are solved.

Description

technical field [0001] The present application relates to the technical field of license plate recognition, and in particular to a license plate recognition method, device, equipment and medium. Background technique [0002] Traditional license plate recognition methods are usually divided into two stages: 1. Character segmentation; 2. Character recognition. Character segmentation generally uses artificially designed algorithms, combined with methods such as projection, connection, and / or contour extraction, to segment the characters in the license plate image, obtain a single character image, and then perform character recognition on the single character image through a classifier. The license plate obtained by this method The image is usually a binary image, and the quality of character segmentation is easily affected by factors such as noise, low resolution, blur or deformation of the input image, while the accuracy of character recognition depends heavily on the result o...

AI Technical Summary

Problems solved by technology

[0003] This application provides a license plate recognition method, device, equipment and medium, which are used to solve the traditional license plate recognition method using artificially designed algorithms, combined with methods such as projection, connection and/or contour extraction to segment the characters in the license plate image, and obtain A single

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