Evaluating text categorization in the presence of OCR errors

Kazem Taghva; Thomas A. Nartker; Julie Borsack; Steven Lumos; Allen Condit; Ron Young

doi:10.1117/12.410861

21 December 2000 Evaluating text categorization in the presence of OCR errors

Kazem Taghva, Thomas A. Nartker, Julie Borsack, Steven Lumos, Allen Condit, Ron Young

Proceedings Volume 4307, Document Recognition and Retrieval VIII; (2000) https://doi.org/10.1117/12.410861
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

In this paper we describe experiments that investigate the effects of OCR errors on text categorization. In particular, we show that in our environment, OCR errors have no effect on categorization when we use a classifier based on the naive Bayes model. We also observe that dimensionality reduction techniques eliminate a large number of OCR errors and improve categorization results.

Citation Download Citation

Kazem Taghva, Thomas A. Nartker, Julie Borsack, Steven Lumos, Allen Condit, and Ron Young "Evaluating text categorization in the presence of OCR errors", Proc. SPIE 4307, Document Recognition and Retrieval VIII, (21 December 2000); https://doi.org/10.1117/12.410861

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