Number plate identification method under strong interference environment on basis of complex network theory

Abstract

The invention discloses a number plate identification method under strong interference environment on the basis of the complex network theory, comprising the following steps: firstly, carrying out quick binarization on a number plate image with a self-adaption multi-threshold method based on blocks and gray characteristic lines; accurately positioning and cutting characters in the number plate image by a number plate priori knowledge with a territory marking method; finally, extracting a character skeleton characteristic; building the complex network model of the character skeleton; describing the character skeleton based on a dynamic-evolution complex network degree characteristic so as to identify characters with a characteristic template matching method; and combining the characters to obtain the number plate. The method disclosed by the invention can avoid influence on the number plate image by strong interferences, such as uneven illumination, changes in the weather, contaminated number plate, inclined number plate, rivet adhesion, image blurring and the like, and has the advantages of strong antijamming capability and robustness, high recognition rate and high speed and is simple to realize.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a license plate recognition method in a strong interference environment based on complex network theory. Background technique [0002] Recognizing the license plate based on optical character recognition (OCR) technology to identify the vehicle identity is one of the key technologies of the intelligent transportation system (ITS). It has extremely important application value in public safety, traffic management and military departments. The research on license plate recognition first started in the 1980s. Data such as vehicle speed, traffic flow, and road load can be roughly calculated. The recognition process requires manual intervention. With the further development of computer technology, the research work on the vehicle license plate recognition system at home and abroad has made great progress. At present, there are many methods for license plate recognition, and th...

AI Technical Summary

Problems solved by technology

[0018] The purpose of the present invention is to provide a license plate recognition method under strong interference environment based on complex network theory, which solves the problem of low license plate image recognition rate in the prior art under strong interference environment, and realizes fast and accurate identification of license plate characters

Images