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Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1
Handwriting Recognition Using Position Sensitive Letter N-Gram Matching
Edinburgh, Scotland
August 03-August 06
ISBN: 0-7695-1960-1
Adnan El-Nasan, Rensselaer Polytechnic Institute
Sriharsha Veeramachaneni, Rensselaer Polytechnic Institute
George Nagy, Rensselaer Polytechnic Institute
We propose further improvement of a handwriting recognition method that avoids segmentation while able to recognize words that were never seen before in handwritten form. This method is based on the fact that few pairs of English words share exactly the same set of letter bigrams and even fewer share longer n-grams. The lexical n-gram matches between every word in a lexicon and a set of reference words can be precomputed. A position-based match function then detects the matches between the handwritten signal of a query word and each reference word. We show that with a reasonable set of reference words, the recognition of lexicon words exceeds 90%.
Citation:
Adnan El-Nasan, Sriharsha Veeramachaneni, George Nagy, "Handwriting Recognition Using Position Sensitive Letter N-Gram Matching," icdar, vol. 1, pp.577, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 1, 2003
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