Word-based correction for retrieval of Arabic OCR degraded documents

Walid Magdy, Kareem Darwish

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Arabic documents that are available only in print continue to be ubiquitous and they can be scanned and subsequently OCR'ed to ease their retrieval. This paper explores the effect of word-based OCR correction on the effectiveness of retrieving Arabic OCR documents using different index terms. The OCR correction uses an improved character segment based noisy channel model and is tested on real and synthetic OCR degradation. Results show that the effect of OCR correction depends on the length of the index term used and that indexing using short n-grams is perhaps superior to word-based error correction. The results are potentially applicable to other languages.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages205-216
Number of pages12
Volume4209 LNCS
Publication statusPublished - 31 Oct 2006
Externally publishedYes
Event13th International Conference on String Processing and Information Retrieval, SPIRE 2006 - Glasgow, United Kingdom
Duration: 11 Oct 200613 Oct 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4209 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th International Conference on String Processing and Information Retrieval, SPIRE 2006
CountryUnited Kingdom
CityGlasgow
Period11/10/0613/10/06

    Fingerprint

Keywords

  • Error correction
  • OCR
  • Retrieval

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Magdy, W., & Darwish, K. (2006). Word-based correction for retrieval of Arabic OCR degraded documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4209 LNCS, pp. 205-216). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4209 LNCS).