High efficiency accurate license plate identification method

Abstract

The invention discloses a high efficiency accurate license plate identification method comprising the following steps: carrying out license plate compactification treatment on an input license plate image so as to obtain a compactification license plate image; using a pre-trained all convolution nerve network model to carry out license plate integral identification, thus obtaining prediction results of each pixel point character class in the compactification license plate image, and forming a label score matrix; parsing the label score matrix so as to obtain the final license plate string information. The method needs no character segmentation, thus solving the problems that an existing method is poor in character segmentation robustness; in addition, the method uses the all convolution nerve network model to carry out license plate integral identification, only one identification process is needed, so the algorithm efficiency is high; the complete context information of the license plate can be combined in the identification process, thus greatly improving the identification accuracy and robustness; finally, in label matrix analysis, the method can carry out difference treatments on different license plate and characters, thus further improving the algorithmic robustness and applicability.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to an efficient and accurate license plate recognition method. Background technique [0002] With the development of video surveillance technology and deep learning technology, intelligent transportation system has become the development direction of the future transportation system, which can alleviate the increasing urban traffic congestion, reduce traffic violations and vicious traffic accidents, and provide a comprehensive solution for various traffic accidents and personal injuries. The post-processing of property safety provides strong evidence. In this process, the license plate number plays a vital role as a unique identity representation of motor vehicles, so the license plate recognition system is one of the important components of the intelligent transportation system. [0003] The current traditional method of license plate recognition mainly includes...

AI Technical Summary

Problems solved by technology

However, there are still large technical bottlenecks in the above-mentioned traditional methods and methods based on deep learning.

First of all, the effect of the character recognition algorithm is directly affected by the effect of the character segmentation algorithm. From the above analysis, it can be seen that the current character segmentation effect is not ideal when applied to complex scenes

Secondly, for each character of the license plate, the character recognition algorithm needs to be called, which greatly reduces the efficiency of the license plate recognition algorithm

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