Skip to main content
SpringerLink
Log in

OCRSpell: an interactive spelling correction system for OCR errors in text

  • Original papers
  • Published:
International Journal on Document Analysis and Recognition Aims and scope Submit manuscript

Abstract.

In this paper, we describe a spelling correction system designed specifically for OCR-generated text that selects candidate words through the use of information gathered from multiple knowledge sources. This system for text correction is based on static and dynamic device mappings, approximate string matching, and n-gram analysis. Our statistically based, Bayesian system incorporates a learning feature that collects confusion information at the collection and document levels. An evaluation of the new system is presented as well.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Author information

Authors and Affiliations

  1. Information Science Research Institute, University of Nevada, Las Vegas, Las Vegas, NV 89154-4021, USA; e-mail: taghva@isri.unlv.edu , , , , , , US

    Kazem Taghva & Eric Stofsky

Authors
  1. Kazem Taghva
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Eric Stofsky
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Received August 16, 2000 / Revised October 6, 2000

Rights and permissions

Reprints and permissions

About this article

Cite this article

Taghva, K., Stofsky, E. OCRSpell: an interactive spelling correction system for OCR errors in text. IJDAR 3, 125–137 (2001). https://doi.org/10.1007/PL00013558

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/PL00013558

Search

Navigation