Preprocessing and Segmentation of Bad Quality Machine Typed Documents
Identifieur interne : 001496 ( Main/Exploration ); précédent : 001495; suivant : 001497Preprocessing and Segmentation of Bad Quality Machine Typed Documents
Auteurs : Mariusz Szwoch [Pologne] ; Wioleta Szwoch [Pologne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Abstract: The goal of the international project Memorial is automatic retrieval from machine typed paper documents belonging to several classes. In this paper the problem of pre-processing and segmentation of scanned archival documents is considered. The goal of these processes is to exactly determine text regions in the document for further OCR processing. Text regions are initially located for each document’s class as XML templates. Then, region-matching algorithm is used to precisely locate regions in current document.
Url:
DOI: 10.1007/978-3-540-28640-0_26
Affiliations:
Links toward previous steps (curation, corpus...)
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- to stream PascalFrancis, to step Curation: 000275
- to stream PascalFrancis, to step Checkpoint: 000467
- to stream Main, to step Merge: 001678
- to stream Main, to step Curation: 001496
Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: The goal of the international project Memorial is automatic retrieval from machine typed paper documents belonging to several classes. In this paper the problem of pre-processing and segmentation of scanned archival documents is considered. The goal of these processes is to exactly determine text regions in the document for further OCR processing. Text regions are initially located for each document’s class as XML templates. Then, region-matching algorithm is used to precisely locate regions in current document.</div>
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