Automatic positioning method for electronic file rubbing film of motor vehicle inspection table

Abstract

The invention discloses an automatic positioning method for an electronic file rubbing film of a motor vehicle inspection table. According to the method, the similarity matching and machine learning modes are used for comparing the rubbing films of the engine number of one vehicle two times, the rubbing films with the uncertain number can be directly extracted from the vehicle inspection table andare used for subsequently identifying whether the rubbing films are tampered or not, so that a foundation is laid for the further intelligent and automatic comparison of the rubbing films.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an automatic positioning method for rubbing films of electronic archives of motor vehicle inspection forms. Background technique [0002] When the motor vehicle leaves the factory, the identification number must be stamped on the engine and the vehicle frame. At the time of registration, the vehicle management office should rub it and save it in the motor vehicle inspection form, which is stored in the form of electronic documents. In the future annual vehicle inspection, transfer, refit, etc., the engine number and frame number must be rubbed again, and compared with the original information of the vehicle, so as to check whether there are illegal acts such as changing the engine or frame. [0003] The current traditional method is to manually judge whether the engine number or chassis number in the rubbing film has been tampered with by experienced industry experts. However, d...

AI Technical Summary

Problems solved by technology

However, due to the huge amount of motor vehicle data, it is difficult to handle a large number of comparison requirements manually

In addition, the comparison of rubbing films before and after two times also requires more senior working experience, and there are few industry experts who can complete the manual comparison

[0004] In addition, in actual operation, it is difficult to locate the rubbing film, and there are the following difficulties: ①The images of the vehicle inspection form are of different sizes; Large, blank spots of different sizes and shapes; ④The location is not fixed; ⑤In a motor vehicle inspection form image file, there are 1 to 3 rubbing films of different sizes and different lengths; ⑥Rubbing The characters of the film and the motor vehicle inspection form are similar, which will cause misjudgment during automatic positioning; ⑦The pixel matrix of different rubbing film images is quite different, resulting in inconsistent similarity coefficients for target positioning, which is suitable for the parameter system of a batch of motor vehicle inspection forms , it may be invalid in another batch of motor vehicle inspection forms

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