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Fourth International Conference Document Analysis and Recognition (ICDAR'97)
Pruning Large Lexicons Using Generalized Word Shape Descriptors
Ulm, GERMANY
August 18-August 20
ISBN: 0-8186-7898-4
S. Madhvanath, IBM Almaden Research Center
V. Krpasundar, Viewlogic Systems Inc.
We present a technique for pruning of large lexicons for recognition of cursive script words. The technique involves extraction and representation of downward pen-strokes from the cursive word (off-line or on-line) to obtain a generalized descriptor which provides a coarse characterization of word shape. The descriptor is matched with ideal descriptors of lexicon entries organized as a trie. When used with a static lexicon of 21,000 words, the accuracy of reduction to 1000 words exceeds 95%.
Index Terms:
Handwritten word recognition, static lexicon organization, lexicon reduction, holistic matching, shape descriptors, trie organization, elastic matching, postprocessing
Citation:
S. Madhvanath, V. Krpasundar, "Pruning Large Lexicons Using Generalized Word Shape Descriptors," icdar, pp.552, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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