An Unsupervised Character Recognition Method for Tibetan Historical Document Images Based on Deep Learning
Xiaojuan Wang,
Weilan Wang
Abstract:As there is a lack of public mark samples of Tibetan historical document image characters at present, this paper proposes an unsupervised Tibetan historical document character recognition method based on deep learning (UD-CNN). Firstly, using the Tibetan historical document character component, the Tibetan historical document character sample data set is constructed for model-aided training. Then, the character baseline information is introduced, and a fine-grained feature learning strategy is proposed. For th… Show more
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