Handwriting Recognition Based on Temporal Order Restored by the End-to-End System
ICDAR, pp. 1231-1236, 2019.
In this paper, we present an original framework for offline handwriting recognition. Our developed recognition system is based on Sequence to Sequence model employing the encoder decoder LSTM, for recovering temporal order from offline handwriting. Handwriting temporal recovery consists of two parts which are respectively extracting featu...More
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