OcrV1, Main, Exploration, bibRecord, 001312

Document Image De-warping Based on Detection of Distorted Text Lines

Identifieur interne : 001312 ( Main/Exploration ); précédent : 001311; suivant : 001313

Document Image De-warping Based on Detection of Distorted Text Lines

Auteurs : Lothar Mischke [Allemagne] ; Wolfram Luther [Allemagne]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.

RBID : ISTEX:093C2B6E6B98D0B3A0122B40D31AFB8A26AD5ED1

Descripteurs français

Pascal (Inist)
- Caractère imprimé, Document imprimé, Gauchissement, Interprétation image, Numérisation, Reconnaissance caractère, Reconnaissance forme, Reconnaissance optique caractère, Texte, Traitement document, Utilisabilité.
Wicri :
- topic : Numérisation.

English descriptors

KwdEn :
- Character recognition, Digitizing, Document processing, Image interpretation, Optical character recognition, Pattern recognition, Printed character, Printed document, Text, Usability, Warping.

Abstract

Abstract: Image warping caused by scanning, photocopying or photographing a document is a common problem in the .eld of document processing and understanding. Distortion within the text documents impairs OCRability and thus strongly decreases the usability of the results. This is one of the major obstacles for automating the process of digitizing printed documents. In this paper we present a novel algorithm which is able to correct document image warping based on the detection of distorted text lines. The proposed solution is used in a recent project of digitizing old, poor quality manuscripts. The algorithm is compared to other published approaches. Experiments with various document samples and the resulting improvements of the text recognition rate achieved by a commercial OCR engine are also presented.

Url:

https://api.istex.fr/document/093C2B6E6B98D0B3A0122B40D31AFB8A26AD5ED1/fulltext/pdf

DOI: 10.1007/11553595_131

Affiliations:

Allemagne

Le document en format XML

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<front><div type="abstract" xml:lang="en">Abstract: Image warping caused by scanning, photocopying or photographing a document is a common problem in the .eld of document processing and understanding. Distortion within the text documents impairs OCRability and thus strongly decreases the usability of the results. This is one of the major obstacles for automating the process of digitizing printed documents. In this paper we present a novel algorithm which is able to correct document image warping based on the detection of distorted text lines. The proposed solution is used in a recent project of digitizing old, poor quality manuscripts. The algorithm is compared to other published approaches. Experiments with various document samples and the resulting improvements of the text recognition rate achieved by a commercial OCR engine are also presented.</div>
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Document Image De-warping Based on Detection of Distorted Text Lines

Document Image De-warping Based on Detection of Distorted Text Lines

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

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