Bottom-up optical character recognition method suitable for terminal strip

Abstract

The invention discloses a bottom-up optical character recognition method suitable for a terminal strip. The method comprises the steps: acquiring a transformer substation terminal strip content imageand performing preprocessing; adopting a bottom-up method for the preprocessed image; employing a CAM thermodynamic diagram to assist a VGG16 to detect fine-grained characters, judging whether the characters are in the same text line or not according to the distance and angle information between the characters, then adding a long-segment memory network LSTM into a detection network, and storing the context features of the text line to finally form a coarse-grained text area; in the identification network ResNet, taking CTC as a loss function, inputting the characteristic information into a training model, performing greedy coding on a model output result, and finally outputting a terminal strip identification result. According to the invention, the problem of low identification accuracy possibly generated by the conventional optical character identification technology in the actual application scene of the transformer substation terminal strip is solved, and the label of the cable sleeve of the transformer substation terminal strip can be rapidly and accurately identified.

Description

Technical field [0001] The invention belongs to the technical field of image recognition, relates to character recognition of electronic equipment, is used for intelligently recognizing the wiring of a secondary circuit of a substation, and is a bottom-up optical character recognition method suitable for terminal blocks. [0002] technical background [0003] The digital design and construction of smart substations are currently underway, and the relevant secondary system design software has a scattered focus, lacks systematization and standardization, and has not yet formed a comprehensive digital forward design process and method. The identification technology based on the perception of the Internet of Things can intelligently identify the secondary circuit wiring of the substation, and compare it with CAD drawings intelligently, and can quickly find the potential risk of inconsistency between the substation site and the completed drawings. [0004] Optical Character Recognition (O...

AI Technical Summary

Problems solved by technology

[0009] The problem to be solved by the present invention is to solve the problem that the traditional optical character recognition technology may have low recognition accuracy in the actual application scene of the substation terminal block, and the purpose is to quickly and accurately identify the label of the substation terminal block cable casing

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