An iterative bootstrapping method that mixes synthetic and model-mined real character images raises identity-document OCR accuracy from 58.1% to 99.4% on 74 classes.
An end-to-end trainable neural network for image-based sequence recognition and its application to scene text recognition,
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Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents
An iterative bootstrapping method that mixes synthetic and model-mined real character images raises identity-document OCR accuracy from 58.1% to 99.4% on 74 classes.