Multi-category text sequence recognition method and device and electronic equipment

The invention discloses a multi-category text sequence recognition method and device, and belongs to the technical field of character recognition. The method is executed through a text sequence recognition model comprising at least one feature extraction layer, a feature mapping layer and a transcri...

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Bibliographic Details
Main Authors LIU ZHENGZHEN, HUANG WEI
Format Patent
LanguageChinese
English
Published 12.09.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:The invention discloses a multi-category text sequence recognition method and device, and belongs to the technical field of character recognition. The method is executed through a text sequence recognition model comprising at least one feature extraction layer, a feature mapping layer and a transcription layer, the feature mapping layer comprises M convolution layers arranged in parallel, and the method comprises the following steps: performing feature extraction on an input image through the feature extraction layer to obtain N feature maps; distributing the N feature maps to the M convolutional layers for feature mapping to obtain a grouping feature mapping result; combining the grouping feature mapping results to obtain feature mapping results of a plurality of preset character categories corresponding to the N feature maps; and transcribing the feature mapping result to obtain a text sequence recognition result. According to the method, a feature mapping layer is improved into a plurality of convolutional
Bibliography:Application Number: CN202310233711