A multiscale approach for recognizing complex annotations in engineering documents

Articles:

Title:: A multiscale approach for recognizing complex annotations in engineering documents
Author(s):: Laine, Andrew F.
Ball, William
Kumar, Arun
Date:: 1991
Type:: Articles
Department:: Biomedical Engineering
Permanent URL:: http://hdl.handle.net/10022/AC:P:9579
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
DOI:: http://dx.doi.org/10.1109/CVPR.1991.139812