Handwriting recognition using Cohort of LSTM and lexicon verification with extremely large lexicon

22 Dec 2016Bruno StunerClément ChatelainThierry Paquet

State-of-the-art methods for handwriting recognition are based on Long Short Term Memory (LSTM) recurrent neural networks (RNN), which now provides very impressive character recognition performance. The character recognition is generally coupled with a lexicon driven decoding process which integrates dictionaries... (read more)

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