End-to-end OCR text recognition method for power equipment nameplate based on image enhancement and template matching

Yuanlong Dong; Jiajie Mo; Yang Li; Minghui Lin; Heng Yue; Xuehai Ren

doi:10.1117/12.3011954

7 December 2023 End-to-end OCR text recognition method for power equipment nameplate based on image enhancement and template matching

Yuanlong Dong, Jiajie Mo, Yang Li, Minghui Lin, Heng Yue, Xuehai Ren

Author Affiliations +

Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 129412X (2023) https://doi.org/10.1117/12.3011954
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China

Abstract

Due to the low accuracy and poor recognition performance of traditional methods in end-to-end OCR text recognition of power equipment nameplates, an end-to-end OCR text recognition method for power equipment nameplates based on image enhancement and template matching is proposed. Calculate the similarity of end-to-end OCR text data collection on power equipment nameplates and extract end-to-end OCR text features on power equipment nameplates; Based on actual node deployment requirements and standards, combined with image enhancement and template matching technology, OCR text feature recognition nodes are deployed to achieve end-to-end OCR text recognition on power equipment nameplates. The experimental results show that the proposed method has a maximum recognition accuracy of 99.67%. The difference between the recognition results and the actual situation is small.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuanlong Dong, Jiajie Mo, Yang Li, Minghui Lin, Heng Yue, and Xuehai Ren "End-to-end OCR text recognition method for power equipment nameplate based on image enhancement and template matching", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 129412X (7 December 2023); https://doi.org/10.1117/12.3011954

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KEYWORDS

Optical character recognition

Image enhancement

Data acquisition

Transformers

Feature extraction

Image processing

Power supplies

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