DocumentCode
1581619
Title
Strategies for combining on-line and off-line information in an on-line handwriting recognition system
Author
Gauthier, N. ; Artieres, Thierry ; Dorizzi, B. ; Gallinari, P.
Author_Institution
LIP6, Paris VI Univ., France
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
412
Lastpage
416
Abstract
This paper investigates the cooperation of online and off-line handwriting word recognition systems. Our goal is to improve a mature online recognition system by, exploiting the complementary information present in the off-line representation built from online signal. After describing the online and off-line HMM based handwriting recognition systems, we propose a formal framework, which allows describing different strategies for combining the two HMM. These schemes are then evaluated on the UNIPEN database, both for isolated character and word recognition tasks
Keywords
handwriting recognition; hidden Markov models; online operation; HMM based handwriting recognition systems; UNIPEN database; handwriting word recognition systems; off-line information; online handwriting recognition system; Character recognition; Decoding; Feature extraction; Handwriting recognition; Hidden Markov models; Image reconstruction; Spatial databases; Vocabulary;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location
Seattle, WA
Print_ISBN
0-7695-1263-1
Type
conf
DOI
10.1109/ICDAR.2001.953823
Filename
953823
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