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Proceedings Paper

Recognition Of Handprinted Characters For Automated Cartography: A Progress Report
Author(s): Matthew Lybanon; Robert M. Brown; Larry K. Gronmeyer
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Paper Abstract

The preparation of maps and other cartographic products involves bringing together information from a number of different sources. Many of the steps currently involve tedious manual operations. Handwritten character recognition (CR) techniques are being developed as a part of efforts to automate procedures. To be useful in such applications, strict accuracy constraints must be observed. Substitutions (misrecognitions) are particularly harmful. Rejections (inability to recognize) are less serious, although as high a recognition rate as possible within the constraints is desirable. A complete practical CR system involves more than just the recognition algorithm. Increased performance may be obtained effectively by improving preprocessing or changing a feature calculation, as well as by modifying the recognition logic. The CR system under development was discussed in "Recognition of Handprinted Characters for Automated Cartography" at this conference last year. Current performance will be reviewed and the planned approach to improve it will be presented.

Paper Details

Date Published: 21 February 1980
PDF: 10 pages
Proc. SPIE 0205, Image Understanding Systems II, (21 February 1980); doi: 10.1117/12.958178
Show Author Affiliations
Matthew Lybanon, Computer Sciences Corporation (United States)
Robert M. Brown, Computer Sciences Corporation (United States)
Larry K. Gronmeyer, Naval Ocean Research and Development Activity (United States)


Published in SPIE Proceedings Vol. 0205:
Image Understanding Systems II
Carol Clark, Editor(s)

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