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 publicationString Processing and Information Retrieval
Subtitle of host publication13th International Conference, SPIRE 2006, Glasgow, UK, October 11-13, 2006, Proceedings
PublisherSpringer Berlin Heidelberg
Pages205-216
Number of pages12
ISBN (Electronic)978-3-540-45775-6
ISBN (Print)978-3-540-45774-9
DOIs
Publication statusPublished - 2006

Publication series

NameLecture Notes in Computer Science (LNCS)
PublisherSpringer Berlin Heidelberg
Volume4209
ISSN (Print)0302-9743

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