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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