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Review of Optical Character Recognition for Power System Image Based on Artificial Intelligence Algorithm

Xun Zhang1, Wanrong Bai1, Haoyang Cui2,*

1 Gansu Electric Power Research Institute of State Grid Corporation of China, Lanzhou, China
2 College of Electronic and Information Engineering, Shanghai University of Electric Power, Shanghai, China

* Corresponding Author: Haoyang Cui. Email: email

(This article belongs to this Special Issue: AI Based Planning, Dispatching, and Operation of New Energy Systems)

Energy Engineering 2023, 120(3), 665-679.


Optical Character Recognition (OCR) refers to a technology that uses image processing technology and character recognition algorithms to identify characters on an image. This paper is a deep study on the recognition effect of OCR based on Artificial Intelligence (AI) algorithms, in which the different AI algorithms for OCR analysis are classified and reviewed. Firstly, the mechanisms and characteristics of artificial neural network-based OCR are summarized. Secondly, this paper explores machine learning-based OCR, and draws the conclusion that the algorithms available for this form of OCR are still in their infancy, with low generalization and fixed recognition errors, albeit with better recognition effect and higher recognition accuracy. Finally, this paper explores several of the latest algorithms such as deep learning and pattern recognition algorithms. This paper concludes that OCR requires algorithms with higher recognition accuracy.


Cite This Article

Zhang, X., Bai, W., Cui, H. (2023). Review of Optical Character Recognition for Power System Image Based on Artificial Intelligence Algorithm. Energy Engineering, 120(3), 665–679.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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