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OCRGrid : A Platform for Distributed and Cooperative OCR Systems

Authors: Hideaki Goto;

OCRGrid : A Platform for Distributed and Cooperative OCR Systems

Abstract

Developing an OCR (Optical Character Recognition/ Reader) system requires expertise in various fields of researches, and the fact has been recognized as an obstacle to expanding the range of OCR applications, improving the recognition accuracy, and to providing end users with better OCR applications and services. This paper proposes a platform for distributed and cooperative OCR systems, called "OCRGrid," that allows end users to search for and use OCR servers over networks. We discuss the potential of the platform, useful applications, and problems that need to be addressed. This paper also introduces a toolkit for realizing Web-based OCRs and an implementation of the character recognition based on the majority logic.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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