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 [BibTeX] [Marc21]
Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition
Type of publication: Conference paper
Citation: vincia01conf
Booktitle: Proceedings of 8$^{th}$ International Conference on Frontiers on Handwriting Recognition
Year: 2002
Address: Niagara on the Lake (Canada)
Note: IDIAP-RR 01-15
Crossref: vincia01a:
Abstract: This work presents the application of HMM adaptation techniques to the problem of Off-Line Cursive Script Recognition. Instead of training a new model for each writer, one first creates a unique model with a mixed database and then adapts it for each different writer using his own small dataset. Experiments on a publicly available benchmark database show that an adapted system has an accuracy higher than 80% even when less than 30 word samples are used during adaptation, while a system trained using the data of the single writer only needs at least 200 words in order to achieve the same performance as the adapted models.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Vinciarelli, Alessandro
Bengio, Samy
Added by: [UNK]
Total mark: 0
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