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A multiscale approach for recognizing complex annotations in engineering documents

Andrew F. Laine; William Ball; Arun Kumar

Title:
A multiscale approach for recognizing complex annotations in engineering documents
Author(s):
Laine, Andrew F.
Ball, William
Kumar, Arun
Date:
Type:
Articles
Department:
Biomedical Engineering
Permanent URL:
Book/Journal Title:
Proceedings, CVPR '91 : June 3-6, 1991, Lahaina, Maui, Hawaii
Publisher:
IEEE
Publisher Location:
Piscataway, N.J.
Abstract:
A novel method for character recognition targeted at complex annotations found in engineering documents is presented. A feasibility study is described in which characters extracted from engineering drawings were recognized without error from a class of 36 distinct alphanumeric patterns by a neural network classifier trained with multiscale representations. An incremental strategy is presented for resolution which relies upon the continuity between hierarchical levels of a novel multiscale decomposition. The authors observed a 16-fold reduction in the amount of information needed to represent each character for recognition. These results suggest high reliability at a reduced cost of representation.
Subject(s):
Biomedical engineering
Publisher DOI:
http://dx.doi.org/10.1109/CVPR.1991.139812
Item views:
128
Metadata:
text | xml

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