Power operation ticket review system based on text recognition

Weidong Xiao; Qi Wang; Hui Wang; Yingjie Yang

doi:10.1117/12.2660952

2 February 2023 Power operation ticket review system based on text recognition

Weidong Xiao, Qi Wang, Hui Wang, Yingjie Yang

Author Affiliations +

Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124621D (2023) https://doi.org/10.1117/12.2660952
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China

Abstract

In order to solve the problem that the handwritten font of the power operation ticket is not easy to recognize and improve the work efficiency of the dispatch operation ticket, this paper proposes a text recognition-based approach to power operation ticket review. First, a text recognition method based on handwriting feature recognition convolutional neural network (CNN) is proposed, which introduces imaginary strokes and multi-directional features as input and uses a simple average calculation method to obtain the classification results. Then use the image samples of operation tickets in the actual operation and maintenance to conduct experiments to verify the effectiveness of the method proposed in this paper. Finally, a power operation ticket review system based on text recognition is designed.

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Weidong Xiao, Qi Wang, Hui Wang, and Yingjie Yang "Power operation ticket review system based on text recognition", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124621D (2 February 2023); https://doi.org/10.1117/12.2660952

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KEYWORDS

Convolution

Convolutional neural networks

Data modeling

Detection and tracking algorithms

Neurons

Data conversion

Statistical modeling

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