Handwritten text recognition method and device and electronic equipment

Abstract

The invention relates to the technical field of character recognition, and discloses a handwritten text recognition method and device and electronic equipment. The handwritten text recognition methodcomprises the steps: obtaining a to-be-recognized handwritten text image; performing high-order feature extraction on the handwritten text image by using the convolutional layer of the convolutional neural network model obtained by training to obtain feature data; performing serialization processing on the feature data through a recursion block of the convolutional neural network model, and performing serial processing in the depth direction on the serialized data obtained by the serialization processing to obtain serial serialized data; and mapping the series serialized data to an output label through a linear layer of the convolutional neural network model to obtain an output value. According to the handwritten text recognition method, the target text corresponding to the handwritten text image is acquired according to the output value and the preset semantic library, and the target text corresponding to the handwritten text image is recognized through the convolutional neural network model, and the calculation cost can be greatly reduced on the premise that the detection precision is not affected, and the training speed and the recognition speed of the model are increased.

Description

technical field

[0001] The invention relates to the technical field of character recognition, in particular to a handwritten text recognition method and device, and electronic equipment. Background technique

[0002] At present, in life, study or work, computers or mobile phones are generally used to record information and generate information texts for easy storage and communication. However, most daily documents are still handwritten, so archiving handwritten text is very important, and because the handwritten text information in the file is difficult to recognize, it is easy for people to manually store the handwritten text, making the storage process more complicated.

[0003] With the emergence of deep learning technology, handwritten character recognition based on deep learning has made breakthroughs in methods and performance in recent years. At present, handwritten text recognition methods based on deep learning generally use a combination of Long Short-Term Memory ...

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