Off-line cursive word recognition
Article Abstract:
Basic notions of cursive word recognition are reviewed with emphasis on line image recognition and the usefulness of 'regular' versus 'singular' classes of features. Graph G is obtained through the application of the notions. The graph represents a line image and is used to find an axis as the regular part of G. The graph is segmented, which provides a symbolic description chain. An informative feature of a cursive word is a 'tarsus,' which is often a letter of the word. Possible words are selected in a list of words using one or more tarsus. Possible words for selection are investigated to determine if the other letters fit to the remains of the SDC. Although good results are achieved, the problem of recognizing a word on a busy or noisy background persists.
Publication Name: Proceedings of the IEEE
Subject: Electronics
ISSN: 0018-9219
Year: 1992
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Computer recognition of unconstrained handwritten numerals
Article Abstract:
Four algorithms for the recognition of unconstrained handwritten numerals are examined. Each algorithm achieves high recognition rates, and when combined, are useful for application in more powerful systems. The resulting multiple expert system shows that when the algorithms are combined they compensate for their individual weaknesses. It is possible to maintain a fairly high recognition rate in the classification of totally unconstrained handwritten ZIP code numerals while reducing the substitution rate to a desired level. In addition, substitutions can be completely avoided and a recognition rate above 90 percent retained. The results of some of the most effective numeral recognition systems are compared.
Publication Name: Proceedings of the IEEE
Subject: Electronics
ISSN: 0018-9219
Year: 1992
User Contributions:
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