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Proceedings Paper

Character recognition: a unified approach
Author(s): Nassrin Tavakoli
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Paper Abstract

Three primary processes are utilized in most pattern recognition systems. (1) The representation process in which the raw digitized data is mapped into a higher level form. (2) The storage process which generates a known base containing the high-level representation of all known patterns in a problem domain. (3) The identification process which classifies the unknown pattern, given its high-level representation and the known base. This paper introduces a new and unified approach to character recognition in which the generation of the known base and the identification process are independent of the representation process. The concept of learning is applied where additional known data can be added to the known base thus allowing for better recognition. The concept of fuzziness is applied to the identification process to find the best match. Algorithms have been developed and applied to digitized characters. The processes of representation, storage, and identification used for this implementation along with results are discussed.

Paper Details

Date Published: 1 August 1992
PDF: 10 pages
Proc. SPIE 1661, Machine Vision Applications in Character Recognition and Industrial Inspection, (1 August 1992); doi: 10.1117/12.130284
Show Author Affiliations
Nassrin Tavakoli, Univ. of North Carolina/Charlotte (United States)


Published in SPIE Proceedings Vol. 1661:
Machine Vision Applications in Character Recognition and Industrial Inspection
Donald P. D'Amato; Wolf-Ekkehard Blanz; Byron E. Dom; Sargur N. Srihari, Editor(s)

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