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Proceedings Paper

Error-correcting form class matching for form reading system
Author(s): Xingyuan Li; Jiarong Hong
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Paper Abstract

In this paper, we describe a method to train and classify form class. We consider the form shape as a special graph, and propose a representation of a form class and an efficient matching algorithm. The matching algorithm is simple and can find the optimal map. When the form class is trained, our approach can correct some errors in the input form; thus a high tolerance of noise on the image is obtained.

Paper Details

Date Published: 16 September 1994
PDF: 7 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185999
Show Author Affiliations
Xingyuan Li, Harbin Institute of Technology (China)
Jiarong Hong, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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