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Proceedings Paper

New method for word recognition without segmentation
Author(s): Jairo Rocha; Theo Pavlidis
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Paper Abstract

A method for recognition of word feature graphs without previous segmentation into characters is described. In the system, each subgraph of features that matches a previously defined character prototype is recognized anywhere in the word even if it corresponds to a broken character or to a character touching another one. The characters are detected in the order defined by the matching quality. Each subgraph that is recognized is introduced as a node in a direct net that compiles different alternatives of interpretation of the features in the feature graph. A path in the net represents a consistent succession of characters in the word. The method allows the recognition of characters that overlap, or that are underlined. A final search for the optimal path under certain criteria gives the best interpretation of the word features. The character recognizer uses a flexible matching between the features and a flexible grouping of the individual features to be matched. Broken characters are recognized by looking for gaps between features that may be interpreted as part of a character. Touching characters are recognized because the matching allows non-matched adjacent features. The recognition results of this system on over 4,000 printed numeral characters belonging to a USPS database and on some hand printed words confirmed the method's high robustness level.

Paper Details

Date Published: 14 April 1993
PDF: 7 pages
Proc. SPIE 1906, Character Recognition Technologies, (14 April 1993); doi: 10.1117/12.143637
Show Author Affiliations
Jairo Rocha, SUNY/Stony Brook (United States)
Theo Pavlidis, SUNY/Stony Brook (United States)

Published in SPIE Proceedings Vol. 1906:
Character Recognition Technologies
Donald P. D'Amato, Editor(s)

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