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Proceedings Paper

Recognition of handprinted characters in Italian cadastral maps
Author(s): Monica Del Buono; L. Boatto; Vincenzo Consorti; Vincenzo Eramo; Alessandra Esposito; F. Melcarne; M. Tucci
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Paper Abstract

Automatic understanding of line drawings is a fundamental task in order to feed a Geographic Information System. Furthermore, the amount of alphanumeric data in engineering drawings and maps makes it necessary to automatically process characters and to provide efficient interactive tools for recognition validation. In this paper, we present the character recognition subsystem implemented within a larger system for the automatic interpretation of Italian cadastral maps (A0 format monochrome drawings representing land properties by means of continuous lines, dashed lines, shading patterns, characters, and special symbols). The system relies upon quite general methodologies, and experiments are now in progress on different kinds of line drawings. The character recognition subsystem consists of a sequence of steps -- from the detection of characters within the raster image to the reconstruction of text strings by grouping single characters, from character recognition to the placement of recognized texts in the vector image. Fully automatic steps are followed by interactive sessions, during which an operator checks and corrects the results provided by the system. The system is currently running on two different platforms: (1) S/370 or S/390 architecture running VM/CMS, equipped with IBM 5080 graphic stations, (2) IBM RS/6000 workstation running AIX.

Paper Details

Date Published: 14 April 1993
PDF: 11 pages
Proc. SPIE 1906, Character Recognition Technologies, (14 April 1993); doi: 10.1117/12.143610
Show Author Affiliations
Monica Del Buono, IBM Semea (Italy)
L. Boatto, IBM Semea (Italy)
Vincenzo Consorti, IBM Semea (Italy)
Vincenzo Eramo, IBM Semea (Italy)
Alessandra Esposito, IBM Semea (Italy)
F. Melcarne, IBM Semea (Italy)
M. Tucci, IBM Semea (Italy)

Published in SPIE Proceedings Vol. 1906:
Character Recognition Technologies
Donald P. D'Amato, Editor(s)

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