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ELECTRIC POWER OPERATION TICKET CHARACTER RECOGNITION METHOD BASED ON CONVOLUTIONAL NEURAL NETWORK
ELECTRIC POWER OPERATION TICKET CHARACTER RECOGNITION METHOD BASED ON CONVOLUTIONAL NEURAL NETWORK
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机译：基于卷积神经网络的电力操作票证字符识别方法
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摘要
Disclosed is an electric power operation ticket character recognition method based on a convolutional neural network, relating to a character recognition method. At present, character recognition of an electric power operation ticket is unclear. The method in the present invention comprises the steps of: constructing a convolutional neural network model with only three convolutional layers, no pooling layer and no fully connected layer, performing training to obtain a nonlinear mapping function, and improving a peak signal-to-noise ratio of an image; using a handwriting feature calculation method to respectively obtain imaginary stroke features, path signature features and 8-directional features of image characters of an electric power operation ticket; and constructing an integrated convolutional neural network model with six convolutional layers, five pooling layers and one fully connected layer, and in combination with the imaginary stroke features, the path signature features and the 8-directional features, performing training to obtain a character recognition model. According to the present technical solution, the excellent spatial feature learning ability of a convolutional neural network is used, and an image enhancement method based on the convolutional neural network and a character recognition method based on the convolutional neural network are used, such that the accuracy of image character recognition of an electric power operation ticket is improved.
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