Paper
16 September 1994 Error-correcting form class matching for form reading system
Xingyuan Li, Jiarong Hong
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185999
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xingyuan Li and Jiarong Hong "Error-correcting form class matching for form reading system", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185999
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Optical character recognition

Detection and tracking algorithms

Tolerancing

Lithium

Matrices

Computer science

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