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Proceedings Paper

Intelligent word-based text recognition
Author(s): Frank Hoenes; Rainer Bleisinger; Andreas R. Dengel
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Paper Abstract

STRACT The need for making information within paper documents available for computers increases steadily. In this paper we present a system which is capable to read and to simply understand address blocks of business letters. It is based on optical word recognition (OWR) techniques uses feature recognition methods based on word shapes and is largly independent from different fonts and sizes. Even uncertainly recognized words can be identified using a dictionary and a specific verification algorithm. Additionally recognition accuracy is improved considering different knowledge layers like address syntax and logical dictionaries. Keywords: Text recognition document layout classification text analysis pattern recognition intelligent interfaces

Paper Details

Date Published: 1 February 1991
PDF: 12 pages
Proc. SPIE 1384, High-Speed Inspection Architectures, Barcoding, and Character Recognition, (1 February 1991); doi: 10.1117/12.25333
Show Author Affiliations
Frank Hoenes, German Research Ctr. of Artificial Intelligence (Germany)
Rainer Bleisinger, German Research Ctr. of Artificial Intelligence (Germany)
Andreas R. Dengel, German Research Ctr. of Artificial Intelligence (Germany)


Published in SPIE Proceedings Vol. 1384:
High-Speed Inspection Architectures, Barcoding, and Character Recognition
Michael J. W. Chen, Editor(s)

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