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Proceedings Paper

A Blackboard Architecture For Object Recognition: Locating Address Blocks On Mail Pieces
Author(s): Sargur N. Srihari; Ching-Huei Wang
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Paper Abstract

A framework for determining special interest objects in images is presented in the context of determining destination address blocks on images of mail pieces such as letters, magazines, and parcels.. The .iinages range from those having a high degree of global spatial structiire (e.g. carefully prepared letter mail envelopes which conform to specifications) to those with no structure (e.g., magazines with randomly pasted address labels). A method of planning the use of a large numbers of specialized tools is given. The control is based on the blackboard model and utilizes a dependency graph, knowledge rules and a blackboard.

Paper Details

Date Published: 18 May 1987
PDF: 9 pages
Proc. SPIE 0730, Automated Inspection and Measurement, (18 May 1987); doi: 10.1117/12.937879
Show Author Affiliations
Sargur N. Srihari, State University of New York at Buffalo (United States)
Ching-Huei Wang, State University of New York at Buffalo (United States)

Published in SPIE Proceedings Vol. 0730:
Automated Inspection and Measurement
Michael J. W. Chen; Robert H. Thibadeau, Editor(s)

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