On-Line Handwriting Recognition Based on Bigram Co-Occurrences

Authors:
Adnan EI-Nasan;George Nagy
Affiliations:
-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Year:
2002

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Abstract

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 recognitionstage 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.