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A vehicle driving license picture self-adaptive correction and identification method

A recognition method and driving license technology, applied in the field of information identification, can solve the problems of low efficiency, low accuracy, and low robustness of vehicle driving license recognition, and achieve the effects of reducing complexity, best accuracy and saving manpower

Pending Publication Date: 2021-03-09
CHONGQING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above-mentioned problems existing in the prior art, the technical problem to be solved in the present invention is: the recognition robustness of the vehicle driving license is low, the accuracy rate is low, and the efficiency is low

Method used

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  • A vehicle driving license picture self-adaptive correction and identification method
  • A vehicle driving license picture self-adaptive correction and identification method
  • A vehicle driving license picture self-adaptive correction and identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0074] EXAMPLES: An adaptive correction and recognition method of a vehicle driver, including the following steps:

[0075] S1000; driving license test;

[0076] S1100; shooting the driving license to get the source picture;

[0077] In the specific implementation, when the driving license is taken, the camera is positive for the driving license, the driving license positive page will generate rotary distortion, the driving license positive page rotation angle -45 ° φ 45 °.

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Abstract

The invention relates to the field of information identification, in particular to a vehicle driving license picture self-adaptive correction and identification method. According to the invention, thedriving license is photographed, the red seal is positioned by using the deep neural network for the photographed picture, the front page of the driving license is corrected and extracted based on the position state of the red seal, the front page of the driving license is processed by using multiple custom algorithms based on Hough transform, and the driving license information is identified byusing the Tesseract-OCR engine. According to the method, manpower is saved, the information of the driving license can be quickly and accurately identified automatically by utilizing a computer, the influence of noise, unclear pictures, large color difference of a shooting camera, black and vertically-arranged anti-counterfeiting lines on the front page of the driving license and colors on information identification can be eliminated, the shooting background of the driving license does not need to be considered, and the invention has excellent accuracy and high robustness.

Description

Technical field [0001] The present invention relates to the field of information identification, and in particular, to a type of adaptive correction and identification of a vehicle driving license. Background technique [0002] my country's rapid development, more and more families have purchased motor vehicles, with the continued growth of motor vehicles, bring significant traffic pressure and huge challenges to vehicle management. At present, the motor vehicle driving license is the only statutory document that is allowed to drive on the road in my country. The driving license is essential in vehicle testing, and there is a wide range of applications related to vehicles related to vehicles, annual inspection processes, insurance and other scenes. However, due to the driving license is a document without chips, in the scene related to the vehicle, the annual inspection process, insurance and other scenes can only be entered through the manual method, this method is very waste of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/20G06K9/32G06K9/62G06N3/04G06T5/00G06T7/11G06T7/13G06T7/136G06T7/187G06T7/40
CPCG06T7/11G06T7/136G06T7/187G06T7/13G06T7/40G06N3/049G06V30/40G06V10/22G06V10/242G06N3/044G06N3/045G06F18/214G06T5/70Y02T10/40
Inventor 黄晟徐嘉志张小先王磊刘富强葛永新洪明坚徐玲张小洪
Owner CHONGQING UNIV
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