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Experiments in the Contextual Recognition of Cursive Script
February 1975 (vol. 24 no. 2)
pp. 182-194
R.W. Ehrich, Department of Electrical and Computer Engineering, University of Massachusetts
In this paper a structure for a contextual cursive script recognition system is presented. This system makes use of letter context to determine word length, letter segmentation, and character identity to achieve contextual recognition at the word level. The system consists of a character recognizer that presents a set of best alternatives for each character to a contextual postprocessor whose task it is to determine the correct word.
Index Terms:
Admissible sequence, binary diagram, context, correlator, cursive script, dictionary, likelihood ratio, Neyman-Pearson, pattern recognition, segment mark, substitution set.
Citation:
R.W. Ehrich, K.J. Koehler, "Experiments in the Contextual Recognition of Cursive Script," IEEE Transactions on Computers, vol. 24, no. 2, pp. 182-194, Feb. 1975, doi:10.1109/T-C.1975.224184
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