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Vehicle plate extracting method based on small wave conversion and Redon transform

A technology of Raiden transform and wavelet transform, applied in the field of intelligent transportation, can solve the problems of poor method robustness, performance degradation of license plate recognition system, and lack of adaptability.

Inactive Publication Date: 2008-08-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Once the environment changes, its extraction accuracy will fluctuate greatly, which will degrade the performance of the entire license plate recognition system
Therefore, it lacks adaptability to various environments and the method is not robust

Method used

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  • Vehicle plate extracting method based on small wave conversion and Redon transform
  • Vehicle plate extracting method based on small wave conversion and Redon transform
  • Vehicle plate extracting method based on small wave conversion and Redon transform

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Experimental program
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Embodiment Construction

[0069] Using the method of the present invention, firstly, at the entrance of the expressway, toll booths and any other suitable locations, the original image of the vehicle is automatically captured by a camera; secondly, the original image of the captured vehicle is used as the original data and input into the Matlab language. Automatic processing is carried out in the software without any manual intervention; finally, a license plate image containing a recognizable number is obtained. A total of 300 color vehicle images taken on the spot were used as the original data. 295 were roughly located, the positioning accuracy was 98.33%, and 285 were accurately located, and the positioning accuracy was 95%. One of the images contains an identifiable number. The license plate image only takes 40ms.

[0070] In summary, the method of the present invention can quickly and accurately locate the license plate image containing the recognizable number from the provided original image of the ...

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Abstract

A vehicle brand picking-up method bases on Wavelet transform and Radon transform commutation. Switch the really color picture to gray-level picture. Calculate the vertical grads of originality picture and bases the result of Wavelet transform of its plane projection curve to wide orientation about the vehicle brand. Take plane Radon transform to the vehicle brand after wide orientation and locate and delete up and down frames of vehicle brand. Take vertical Radon transformation to the vehicle brand deleted the up frame and down frame and locate and delete left frame and right frame of vehicle brand. Consolidate the colors to get one vehicle brand without frame and having identifiable number. It picks up vehicle brand effectively, quickly and precise in common condition and set veracious identify foundation to the word of vehicle brand.

Description

Technical field [0001] The invention belongs to the field of intelligent transportation technology, and particularly relates to a license plate extraction method in a complex background in the license plate recognition technology. Background technique [0002] Intelligent transportation system is currently a frontier research topic in the field of transportation in the world. Developed countries have proposed and implemented a series of research plans. The core of which is to address the increasingly serious traffic demand and environmental protection pressure, using information technology, communication technology, computer technology, and control Technology, etc. carry out in-depth transformation of the traditional transportation system to improve the efficiency of the use of system resources, system safety, and reduce resource consumption and environmental pollution. my country is no exception in this regard. The license plate recognition technology in the intelligent transpor...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/80G06K9/20
Inventor 马争杨京忠
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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