Fast Multi-language LSTM-based Online Handwriting Recognition
Table 4: Error rates on IBM-UB-1 test set in comparison to our previous system Google:HWRPAMI . A "*" in the "system" column indicates the use of an open training set.
['system', 'CER[%]', 'WER[%]']
We note that our current system is about 38% and 32% better (relative) in CER and WER, respectively, when compared to the previous segment-and-decode approach. The lack of improvement in error rate when evaluating on our production system is due to the fact that our datasets contain spaces while the same setup trained solely on IBM-UB-1 does not.