Automatic Feature Extraction and Recognition for Digital Access of Books of the Renaissance
Identifieur interne : 000930 ( Istex/Corpus ); précédent : 000929; suivant : 000931Automatic Feature Extraction and Recognition for Digital Access of Books of the Renaissance
Auteurs : F. Muge ; I. Granado ; M. Mengucci ; P. Pina ; V. Ramos ; N. Sirakov ; R. Caldas Pinto ; A. Marcolino ; Mário Ramalho ; P. Vieira ; A. Maia Do AmaralSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2000.
Abstract
Abstract: Antique printed books constitute a heritage that should be preserved and used. With novel digitising techniques is now possible to have these books stored in digital format and accessible to a wider public. However it remains the problem of how to use them. DEBORA (Digital accEss to BOoks of the RenAissance) is a European project that aims to develop a system to interact with these books through world-wide networks. The main issue is to build a database accessible through client computers. That will require to built accompanying metadata that should characterise different components of the books as illuminated letters, banners, figures and key words in order to simplify and speed up the remote access. To solve these problems, digital image analysis algorithms regarding filtering, segmentation, separation of text from non-text, lines and word segmentation and word recognition were developed. Some novel ideas are presented and illustrated through examples.
Url:
DOI: 10.1007/3-540-45268-0_1
Links to Exploration step
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<front><div type="abstract" xml:lang="en">Abstract: Antique printed books constitute a heritage that should be preserved and used. With novel digitising techniques is now possible to have these books stored in digital format and accessible to a wider public. However it remains the problem of how to use them. DEBORA (Digital accEss to BOoks of the RenAissance) is a European project that aims to develop a system to interact with these books through world-wide networks. The main issue is to build a database accessible through client computers. That will require to built accompanying metadata that should characterise different components of the books as illuminated letters, banners, figures and key words in order to simplify and speed up the remote access. To solve these problems, digital image analysis algorithms regarding filtering, segmentation, separation of text from non-text, lines and word segmentation and word recognition were developed. Some novel ideas are presented and illustrated through examples.</div>
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