Word-Based Correction for Retrieval of Arabic OCR Degraded Documents
Identifieur interne : 000F85 ( Main/Exploration ); précédent : 000F84; suivant : 000F86Word-Based Correction for Retrieval of Arabic OCR Degraded Documents
Auteurs : Walid Magdy [Égypte] ; Kareem Darwish [Égypte]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
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.
Url:
DOI: 10.1007/11880561_17
Affiliations:
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Le document en format XML
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Box 166, El-Ahram, Giza</wicri:regionArea><wicri:noRegion>Giza</wicri:noRegion></affiliation><affiliation><wicri:noCountry code="no comma">E-mail: darwishk@eg.ibm.com</wicri:noCountry></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2006</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">7DEF2DA720FAA2537299C98F939F2F81FAA21447</idno><idno type="DOI">10.1007/11880561_17</idno><idno type="ChapterID">17</idno><idno type="ChapterID">Chap17</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Arabic</term><term>Character recognition</term><term>Character string</term><term>Error correction</term><term>Indexing</term><term>Information retrieval</term><term>Noisy channel</term><term>Optical character recognition</term><term>Pervasive computing</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>.</term><term>Arabe</term><term>Canal avec bruit</term><term>Chaîne caractère</term><term>Correction erreur</term><term>Indexation</term><term>Informatique diffuse</term><term>Recherche information</term><term>Reconnaissance caractère</term><term>Reconnaissance optique caractère</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI><affiliations><list><country><li>Égypte</li></country></list><tree><country name="Égypte"><noRegion><name sortKey="Magdy, Walid" sort="Magdy, Walid" uniqKey="Magdy W" first="Walid" last="Magdy">Walid Magdy</name></noRegion><name sortKey="Darwish, Kareem" sort="Darwish, Kareem" uniqKey="Darwish K" first="Kareem" last="Darwish">Kareem Darwish</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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