Fuzzy perceptual-code LSTM and convLSTM systems are reported to recognize online Arabic and Latin handwriting with best rates up to 98.5%.
A gru-based encoder-decoder ap- proach with attention for online handwritten mathematical ex- pression recognition,
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Neural Architecture based on Fuzzy Perceptual Representation For Online Multilingual Handwriting Recognition
Fuzzy perceptual-code LSTM and convLSTM systems are reported to recognize online Arabic and Latin handwriting with best rates up to 98.5%.