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Proceedings Paper

Extracting Text From Real-World Scenes
Author(s): J.Patrick Bixler; David P. Miller
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Paper Abstract

Many scenes contain significant textual information that can be extremely helpful for understanding and/or navigation. For example, text-based information can frequently be the primary cure used for navigating inside buildings. One might first read a marquee, then look for an appropriate hallway and walk along reading door signs and nameplates until the destination is found. Optical character recognition has been studied extensively in recent years, but has been applied almost exclusively to printed documents. As these techniques improve it becomes reasonable to ask whether they can be applied to an arbitrary scene in an attempt to extract text-based information. Before an automated system can be expected to navigate by reading signs, however, the text must first be segmented from the rest of the scene. This paper discusses the feasibility of extracting text from an arbitrary scene and using that information to guide the navigation of a mobile robot. We consider some simple techniques for first locating text components and then tracking the individual characters to form words and phrases. Results for some sample images are also presented.

Paper Details

Date Published: 5 January 1989
PDF: 10 pages
Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); doi: 10.1117/12.948952
Show Author Affiliations
J.Patrick Bixler, Virginia Tech (United States)
David P. Miller, Artificial Intelligence Group (United States)

Published in SPIE Proceedings Vol. 1003:
Sensor Fusion: Spatial Reasoning and Scene Interpretation
Paul S. Schenker, Editor(s)

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