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On-Line Handwriting Recognition Based on Bigram Co-Occurrences
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104809516th International Conference on Patt ...
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Adnan EI-Nasan, George Nagy, "On-Line Handwriting Recognition Based on Bigram Co-Occurrences," Pattern Recognition, International Conference on, vol. 3, pp. 30740, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1048095,
author = {Adnan EI-Nasan and George Nagy},
title = {On-Line Handwriting Recognition Based on Bigram Co-Occurrences},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2002},
issn = {1051-4651},
pages = {30740},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048095},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Pattern Recognition, International Conference on
TI - On-Line Handwriting Recognition Based on Bigram Co-Occurrences
SN - 1051-4651
SP
EP
A1 - Adnan EI-Nasan,
A1 - George Nagy,
PY - 2002
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Adnan EI-Nasan, Rensselaer Polytechnic Institute
George Nagy, Rensselaer Polytechnic Institute
We propose a handwriting recognition method that utilizes the n-gram statistics of the English language. It is based on the linguistic property that very few pairs of English words share exactly the same letter bigrams. This property is exploited to bring context to the recognition stage and to avoid segmentation. The recognition is based on detecting bigram co-occurrences. Even with naive features and a limited reference set, it recognizes over 45% of lexicon words that it has never seen before in handwritten form.
Citation:
Adnan EI-Nasan, George Nagy, "On-Line Handwriting Recognition Based on Bigram Co-Occurrences," icpr, vol. 3, pp.30740, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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