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Issue No.06 - June (1982 vol.4)
pp: 655-663
Radmilo Bozinovic , Department of Computer Science, State University of New York at Buffalo, Amherst, NY 14226.
Sargur N. Srihari , Department of Computer Science, State University of New York at Buffalo, Amherst, NY 14226.
ABSTRACT
This paper deals with a method of estimating a correct string X from its noisy version Y produced by a cursive script recognition system. An accurate channel model that allows for splitting, merging, and substitution of symbols is introduced. The best estimate X is obtained by using a dynamic programming search which combines a known search strategy (stack decoding) with a trie structure representation of a dictionary. The computational complexity of the algorithm is derived and compared with that of a method based on the generalized Levenshtein metric. Experimental results with the algorithm on English text based on a dictionary of the 1027 most commonly occurring words are described.
CITATION
Radmilo Bozinovic, Sargur N. Srihari, "A String Correction Algorithm for Cursive Script Recognition", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.4, no. 6, pp. 655-663, June 1982, doi:10.1109/TPAMI.1982.4767321
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