Paper
18 May 1987 A Blackboard Architecture For Object Recognition: Locating Address Blocks On Mail Pieces
Sargur N. Srihari, Ching-Huei Wang
Author Affiliations +
Proceedings Volume 0730, Automated Inspection and Measurement; (1987) https://doi.org/10.1117/12.937879
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sargur N. Srihari and Ching-Huei Wang "A Blackboard Architecture For Object Recognition: Locating Address Blocks On Mail Pieces", Proc. SPIE 0730, Automated Inspection and Measurement, (18 May 1987); https://doi.org/10.1117/12.937879
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Cited by 2 scholarly publications and 2 patents.
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KEYWORDS
Image segmentation

Image processing

Databases

Binary data

Inspection

Visualization

Nanoimprint lithography

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