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 :
بازگشت