Hairetes: A Search Engine for OCR Documents

Authors

Kazem Taghva, University of Nevada, Las VegasFollow
Jeffrey Coombs, University of Nevada, Las VegasFollow

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

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Repository Citation

Taghva, K., Coombs, J. (2002). Hairetes: A Search Engine for OCR Documents. In Daniel Lopresti; Jianying Hu; Ramanujan Kashi, Document Analysis Systems V 412-422. Springer Berlin Heidelberg.