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Proceedings Paper

Recognition Of Handprinted Characters For Automated Cartography
Author(s): Matthew Lybanon; Larry K. Gronmeyer
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Paper Abstract

The specific problem addressed by this paper is the reading by computer of handprinted ocean depth soundings from "smooth sheets," records obtained from survey missions. The objective is to reduce the soundings and coordinates from the smooth sheets to digital tape for editing and preparation of standard oceanographic charts. In the system described the smooth sheet soundings are "read" by a video camera and recognized by software. Commercially available OCR systems are not suited to this task because the text is unconstrained in both font and format. In order to allow for differences in handwriting styles, the recognition software must work with those features that distinguish one character from another, while tolerating variation in the formation of a single character. For production purposes, a high through-put rate is needed. A practical recognition algorithm embodying these concepts will be described, along with the preprocessing steps found necessary. The performance of the system will be discussed, with examples.

Paper Details

Date Published: 9 January 1979
PDF: 10 pages
Proc. SPIE 0155, Image Understanding Systems and Industrial Applications I, (9 January 1979); doi: 10.1117/12.956731
Show Author Affiliations
Matthew Lybanon, Computer Sciences Corporation (United States)
Larry K. Gronmeyer, Naval Ocean Research and Development Activity (United States)


Published in SPIE Proceedings Vol. 0155:
Image Understanding Systems and Industrial Applications I
Ram Nevatia, Editor(s)

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