OcrV1, Main, Exploration, bibRecord, 001F42

Scale Space Technique for Word Segmentation in Handwritten Documents

Identifieur interne : 001F42 ( Main/Exploration ); précédent : 001F41; suivant : 001F43

Scale Space Technique for Word Segmentation in Handwritten Documents

Auteurs : R. Manmatha [États-Unis] ; Nitin Srimal [États-Unis]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 1999.

RBID : ISTEX:C7DBB4B04AF1CCAA1EC1C3512BA05075940CB2AD

Descripteurs français

Pascal (Inist)
- Analyse documentaire, Caractère manuscrit, Ecriture, Image binaire, Image niveau gris, Mot, Reconnaissance optique caractère, Segmentation, Segmentation ligne, Segmentation mot.

English descriptors

KwdEn :
- Binary image, Document analysis, Grey level image, Hand writing, Manuscript character, Optical character recognition, Segmentation, Word.

Abstract

Abstract: Indexing large archives of historical manuscripts, like the pa- pers of George Washington, is required to allow rapid perusal by scholars and researchers who wish to consult the original manuscripts. Presently, such large archives are indexed manually. Since optical character recog- nition (OCR) works poorly with handwriting, a scheme based on match- ing word images called word spotting has been suggested previously for indexing such documents. The important steps in this scheme are seg- mentation of a document page into words and creation of lists containing instances of the same word by word image matching. We have developed a novel methodology for segmenting handwritten document images by analyzing the extent of “blobs” in a scale space representationof the image. We believe this is the first application of scale space to this problem. The algorithm has been applied to around 30 grey level images randomly picked from different sections of the George Washington corpus of 6,400 handwritten document images. An accuracy of 77 – 96 percent was observed with an average accuracy of around 87 percent. The algorithm works well in the presence of noise, shine through and other artifacts which may arise due aging and degradation of the page over a couple of centuries or through the man made processes of photocopying and scanning.

Url:

https://api.istex.fr/document/C7DBB4B04AF1CCAA1EC1C3512BA05075940CB2AD/fulltext/pdf

DOI: 10.1007/3-540-48236-9_3

Affiliations:

Le document en format XML

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Serveur d'exploration sur l'OCR

Scale Space Technique for Word Segmentation in Handwritten Documents

Scale Space Technique for Word Segmentation in Handwritten Documents

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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