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Proceedings Paper

Novel structure-recognition-based OCR system and its parallel VLSI architecture
Author(s): Tie-Jun Shan
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Paper Abstract

We propose a structure pattern recognition based OCR system for printed text recognition. The segmentation algorithm is a raster-scan based one that reduces memory access time a great deal. The feature extract algorithm is a chain-code encoding based graph traversal algorithm. It has an advantage of single memory access for each pixel while most graph traversal algorithms require multiple scans of the entire image. While traversing a thinned character, structural feature is automatically extracted. The classification is a process of tree search in the structure feature space that is created during the training process. The segmentation, thinning, and feature extraction algorithms are all raster-scan based algorithms that can be implemented by a parallel systolic array architecture.

Paper Details

Date Published: 14 April 1993
PDF: 12 pages
Proc. SPIE 1906, Character Recognition Technologies, (14 April 1993); doi: 10.1117/12.143618
Show Author Affiliations
Tie-Jun Shan, E.I. du Pont de Nemours & Co., Inc. (United States)

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

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