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- W2946304872 abstract "This paper presents an overview of training strategies for optical character recognition of historical documents. The main issue is the lack of the annotated data and its quality. We summarize several ways of synthetic data preparation. The main goal of this paper is to show and compare possibilities how to train a convolutional recurrent neural network classifier using the synthetic data and its combination with a real annotated dataset." @default.
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- W2946304872 date "2019-01-01" @default.
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- W2946304872 title "Training Strategies for OCR Systems for Historical Documents" @default.
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- W2946304872 doi "https://doi.org/10.1007/978-3-030-19823-7_30" @default.
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