DocumentCode
3142230
Title
Dictionary preselection in a neuro-Markovian word recognition system
Author
Wimmer, Z. ; Dorizzi, B. ; Gallinari, P.
Author_Institution
Vision Objects, Nantes, France
fYear
1999
fDate
20-22 Sep 1999
Firstpage
539
Lastpage
542
Abstract
Previously we have introduced a neural predictive system for on-line and off-line word recognition (Garcia-Salicetti et al., 1995; 1996; 1997). Words are recognized thanks to a dictionary which is used in a postprocessing stage. We focus on this lexical part of the system and more precisely on the preselection technique that is used to reduce the computational complexity. We define and compare two edit distances and show how the results can be improved through the use of the confusion matrix
Keywords
computational complexity; dictionaries; document image processing; hidden Markov models; neural nets; optical character recognition; computational complexity; confusion matrix; dictionary preselection; edit distances; hidden Markov model; lexical; neural network; neural predictive system; neuroMarkovian word recognition system; offline word recognition; online word recognition; Calculus; Dictionaries; Face recognition; Hidden Markov models; Labeling; Neural networks; Testing; Viterbi algorithm; Vocabulary; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on
Conference_Location
Bangalore
Print_ISBN
0-7695-0318-7
Type
conf
DOI
10.1109/ICDAR.1999.791844
Filename
791844
Link To Document