License plate detection method based on blocked license plate area regression technology

Abstract

The invention provides a license plate detection method based on a blocked license plate area regression technology. The license plate detection method based on a blocked license plate area regression technology includes the steps: a) performing vehicle detection, obtaining a target vehicle, and determining a whole license plate detection area by means of the target vehicle; b) dividing the license plate detection area into n small blocks, wherein each small block is partially overlapped; c) using a first deep neural network learning model to perform fitting to obtain a general license plate area, and obtaining the credibility that the area is a real license plate at the same time; and d) according to the relationship between the position of the license plate area and the credibility, obtaining the final license plate area through fusion. The license plate detection method based on a blocked license plate area regression technology utilizes the blocked license plate area regression technology to reduce the time of detecting a license plate. The license plate detection method based on a blocked license plate area regression technology can improve the accuracy for detecting a license plate by introducing the deep learning model.

Description

technical field [0001] The invention relates to the fields of intelligent transportation systems and digital security, in particular to a license plate detection method based on the segmented license plate area regression technology. Background technique [0002] License plate recognition is a basic part and an important link in the field of intelligent transportation system (ITS). It is necessary for other parts of the intelligent transportation system, such as vehicle logo recognition, body color analysis, vehicle model analysis, bayonet detection, electronic police, and other traffic event related modules. How well it is handled makes a difference. [0003] The traditional license plate recognition system is roughly divided into several sub-modules such as license plate detection, license plate location, character segmentation and character recognition. The license plate detection link uses the detector to scan and classify the whole image or the region of interest (ROI)...

AI Technical Summary

Problems solved by technology

The license plate detection link uses the detector to scan and classify the whole image or the region of interest (ROI). Considering issues such as scale and aspect ratio, the amount of calculation is relatively large; Factors such as size are difficult to be accurate, and have a great impact on subsequent character segmentation and recognition

Moreover, the traditional license plate detection system needs to traverse the sliding window, which is time-consuming

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