Digital instrument reading identification method

Abstract

The invention relates to the technical field of image recognition, and provides a digital instrument reading recognition method, which comprises the following steps of: obtaining a first image of a digital display area of a digital instrument; preprocessing the first image to obtain a grayed second image; carrying out edge detection on the second image, carrying out binary classification through amaximum between-class difference method, and removing redundant edge pixel points; performing binarization processing on the second image to obtain a third image; obtaining a non-background area of the third image, performing binary classification through a maximum inter-class difference method, and removing redundant non-background pixel points; performing tilt correction on the third image; andcarrying out character segmentation and numerical recognition on the corrected third image. According to the method, the influence of illumination on the recognition result can be reduced, characterbonding can be effectively avoided, over-segmented characters are subjected to merging processing, miscellaneous points are removed, the character segmentation precision is ensured, a large number ofsamples do not need to be collected for training, and the method is suitable for reading recognition of various digital instruments.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a digital meter reading recognition method. Background technique [0002] In substations and other occasions, a variety of digital instruments are configured. The environment of these instruments and instruments is complex. In order to maintain the stability of the power system, high requirements are placed on the reliability of the equipment operation, so it is necessary to regularly test them. Conduct inspections. For the normal operation, management and maintenance of these devices, the traditional method is to regularly inspect the devices manually, but this method has disadvantages such as time-consuming, laborious, high cost, low accuracy, low efficiency, and strong subjectivity, which is not conducive to the equipment automated management and maintenance. If inspection robots are used instead of manual inspections to realize remote readings of vario...

AI Technical Summary

Problems solved by technology

[0005]Many current digital recognition methods need to preprocess the image, perform grayscale and binarization, and rely too much on the effect of binarization. In the case of dial stains, the recognition effect is poor

[0006]Many methods have high requirements for character segmentation, and the accuracy of segmentation affects the recognition results

[0007] Some digital recognition requires sample training, and a large number of samples need to be collected in the early stage. The cost of time and money is high, and the operation is cumbersome. The scope of application is limited to this part of digital instruments

[0008] Most of the methods deal with a single type of digital meter and cannot be applied to most digital meters

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