Intelligent recognition system of converter station operation text based on computer image acquisition

YuTian Peng; Xin Zhang; Tao Chen; Yu Song; LingXiong Zeng

doi:10.1117/12.2679767

16 June 2023 Intelligent recognition system of converter station operation text based on computer image acquisition

YuTian Peng, Xin Zhang, Tao Chen, Yu Song, LingXiong Zeng

Proceedings Volume 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023); 127021A (2023) https://doi.org/10.1117/12.2679767
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 2023, Changsha, China

Abstract

In order to improve the efficiency of text recognition of converter station operation, this paper studies the intelligent text recognition system combined with computer image acquisition technology. Through the visual recognition algorithm developed by VS2010 and OpenCv to extract the font outline, combined with the developed outline edge feature extraction algorithm to identify and locate the font, the intelligent recognition statistics are realized. Because the real-time performance of human body detection using gradient histogram features is poor, the method of feature extraction is improved in this paper. The experimental results show that the improved human detection algorithm has good real-time performance. In the experiment, the success rate is over 95%, and the time spent is less than 28s. There is a huge space for practical application and promotion.

Citation Download Citation

YuTian Peng, Xin Zhang, Tao Chen, Yu Song, and LingXiong Zeng "Intelligent recognition system of converter station operation text based on computer image acquisition", Proc. SPIE 12702, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023), 127021A (16 June 2023); https://doi.org/10.1117/12.2679767

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