Title

Hairetes: A Search Engine for OCR Documents

Editors

Daniel Lopresti; Jianying Hu; Ramanujan Kashi

Document Type

Chapter

Publication Date

2002

Publication Title

Document Analysis Systems V

Publisher

Springer Berlin Heidelberg

First page number:

412

Last page number:

422

Abstract

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.

Disciplines

Electrical and Computer Engineering | Engineering

Language

English

Permissions

Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.

Identifier

DOI: 10.1007/3-540-45869-7_45

UNLV article access

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