Handwritten Word Spotting in Old Manuscript Images Using a Pseudo-structural Descriptor Organized in a Hash Structure
Identifieur interne : 000471 ( Main/Exploration ); précédent : 000470; suivant : 000472Handwritten Word Spotting in Old Manuscript Images Using a Pseudo-structural Descriptor Organized in a Hash Structure
Auteurs : David Fernández [Espagne] ; Josep Llad S [Espagne] ; Alicia Fornés [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: There are lots of historical handwritten documents with information that can be used for several studies and projects. The Document Image Analysis and Recognition community is interested in preserving these documents and extracting all the valuable information from them. Handwritten word-spotting is the pattern classification task which consists in detecting handwriting word images. In this work, we have used a query-by-example formalism: we have matched an input image with one or multiple images from handwritten documents to determine the distance that might indicate a correspondence. We have developed an approach based in characteristic Loci Features stored in a hash structure. Document images of the marriage licences of the Cathedral of Barcelona are used as the benchmarking database.
Url:
DOI: 10.1007/978-3-642-21257-4_78
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 001297
- to stream Istex, to step Curation: 001220
- to stream Istex, to step Checkpoint: 000128
- to stream Main, to step Merge: 000477
- to stream Main, to step Curation: 000471
Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: There are lots of historical handwritten documents with information that can be used for several studies and projects. The Document Image Analysis and Recognition community is interested in preserving these documents and extracting all the valuable information from them. Handwritten word-spotting is the pattern classification task which consists in detecting handwriting word images. In this work, we have used a query-by-example formalism: we have matched an input image with one or multiple images from handwritten documents to determine the distance that might indicate a correspondence. We have developed an approach based in characteristic Loci Features stored in a hash structure. Document images of the marriage licences of the Cathedral of Barcelona are used as the benchmarking database.</div>
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