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 [BibTeX] [Marc21]
Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition
Type of publication: Idiap-RR
Citation: vincia01a
Number: Idiap-RR-15-2001
Year: 2001
Institution: IDIAP
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
Crossref by vincia01conf
Added by: [UNK]
Total mark: 0
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