Word Spotting in Archive Documents Using Shape Contexts
Identifieur interne : 000D35 ( Istex/Curation ); précédent : 000D34; suivant : 000D36Word Spotting in Archive Documents Using Shape Contexts
Auteurs : Josep Llad S [Espagne] ; Partha Pratim-Roy [Espagne] ; A. Rodríguez [Espagne] ; Gemma Sánchez [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: The analysis of historical document images is not only interesting for the preservation of historical heritage but also for the extraction of semantic knowledge. In this paper we present a word spotting approach to find keyword images in digital archives. Detected words allow to construct metadata on document contents for indexing and retrieval purposes. Instead of using OCR based approches that would require accurate segmentation and high image quality, we propose a shape recognition method based on the well-known shape context descriptor. Our method is proven to be robust under hightly distorted and noisy document images, a usual drawback in old document analysis. It has been used in a real application scenario, the Collection of Border Records of the Girona Archive. In particular, spotted keywords are used to extract knowledge on personal data of people referred in the documents.
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DOI: 10.1007/978-3-540-72849-8_37
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Rodríguez</name><affiliation wicri:level="1"><mods:affiliation>Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain</mods:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona)</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: jrodriguez@cvc.uab.es</mods:affiliation><country wicri:rule="url">Espagne</country></affiliation></author><author><name sortKey="Sanchez, Gemma" sort="Sanchez, Gemma" uniqKey="Sanchez G" first="Gemma" last="Sánchez">Gemma Sánchez</name><affiliation wicri:level="1"><mods:affiliation>Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona), Spain</mods:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Computer Vision Center - Computer Science Department, Universitat Autònoma de Barcelona, 08193 Bellaterra (Barcelona)</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>E-mail: gemma@cvc.uab.es</mods:affiliation><country wicri:rule="url">Espagne</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2007</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">FF85E3EE6D12FFCF4B0250EF487B2F57FBECADA9</idno><idno type="DOI">10.1007/978-3-540-72849-8_37</idno><idno type="ChapterID">37</idno><idno type="ChapterID">Chap37</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: The analysis of historical document images is not only interesting for the preservation of historical heritage but also for the extraction of semantic knowledge. In this paper we present a word spotting approach to find keyword images in digital archives. Detected words allow to construct metadata on document contents for indexing and retrieval purposes. Instead of using OCR based approches that would require accurate segmentation and high image quality, we propose a shape recognition method based on the well-known shape context descriptor. Our method is proven to be robust under hightly distorted and noisy document images, a usual drawback in old document analysis. It has been used in a real application scenario, the Collection of Border Records of the Girona Archive. In particular, spotted keywords are used to extract knowledge on personal data of people referred in the documents.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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