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Relating Statistical Image Differences and Degradation Features Read chapter Read first chapter

2002 | OriginalPaper | Chapter

Hairetes: A Search Engine for OCR Documents

Authors : Kazem Taghva, Jeffrey Coombs

Published in: Document Analysis Systems V

Publisher: Springer Berlin Heidelberg

Included in: Professional Book Archive

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In this paper, we report on the architecture and preliminary implementation of our search engine, Hairetes. This engine is based on an extended concept of Retrieval by General Logical Imaging (RbGLI). In this extension, word similarity measures are computed by EMIM and Bayes’ theorem.

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Metadata
Title
Hairetes: A Search Engine for OCR Documents
Authors
Kazem Taghva
Jeffrey Coombs
Copyright Year
2002
Publisher
Springer Berlin Heidelberg
Book
Document Analysis Systems V

Print ISBN: 978-3-540-44068-0

Electronic ISBN: 978-3-540-45869-2

Copyright Year: 2002

DOI
https://doi.org/10.1007/3-540-45869-7_45

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