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

A complex network, license plate recognition technology, used in character and pattern recognition, traffic control systems for road vehicles, instruments, etc. Effect

Inactive Publication Date: 2011-06-15
XIAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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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

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

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Embodiment Construction

[0042] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0043] The license plate recognition method under the strong interference environment based on the complex network theory of the present invention combines the digital image processing method and the complex network theoretical characteristics, and establishes a complex network model of the character features on the basis of using the digital image processing technology to extract the character features. Use complex network characteristics to analyze and characterize character features, and then use feature template matching method for recognition, and finally combine the recognized characters to obtain the license plate number. The implementation steps are as follows:

[0044] Step 1: Binarize the license plate image

[0045] Adaptive multi-threshold fast binarization method based on blocks and feature lines is used to divide the license pla...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/60G08G1/017
Inventor 任海鹏马展峰
Owner XIAN UNIV OF TECH
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