A dual-stream fully convolutional network produces competitive character error rates on IAM and RIMES handwriting datasets while avoiding CTC, dictionaries, and heavy preprocessing.
A comparison of sequence-trained deep neural networks and recurrent neural networks optical modeling for handwriting recognition
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Fully Convolutional Networks for Handwriting Recognition
A dual-stream fully convolutional network produces competitive character error rates on IAM and RIMES handwriting datasets while avoiding CTC, dictionaries, and heavy preprocessing.