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

作     者：Xun Zhang Wanrong Bai Haoyang Cui 

作者机构：Gansu Electric Power Research Institute of StateGrid Corporation of ChinaLanzhouChina College of Electronic and Information EngineeringShanghai University of Electric PowerShanghaiChina 

出 版 物：《Energy Engineering》 (能源工程（英文）)

年 卷 期：2023年第120卷第3期

页      面：665-679页

核心收录：

学科分类：0710[理学-生物学] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by science and technology projects of Gansu State Grid Corporation of China(52272220002U) 

主　　题：Optical character recognition artificial intelligence power system image artificial neural network machine leaning deep learning 

摘      要：Optical Character Recognition(OCR)refers to a technology that uses image processing technology and character recognition algorithms to identify characters on an *** 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 ***,the mechanisms and characteristics of artificial neural network-based OCR are ***,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 ***,this paper explores several of the latest algorithms such as deep learning and pattern recognition *** paper concludes that OCR requires algorithms with higher recognition accuracy.