OcrV1, Main, Merge, bibRecord, 001F27

Offline recognition of syntax-constrained cursive handwritten text

Identifieur interne : 001F27 ( Main/Merge ); précédent : 001F26; suivant : 001F28

Offline recognition of syntax-constrained cursive handwritten text

Auteurs : J. Gonzalez [Espagne] ; I. Salvador [Espagne] ; A. H. Toselli [Espagne] ; A. Juan [Espagne] ; E. Vidal [Espagne] ; F. Casacuberta [Espagne]

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2000.

RBID : Pascal:00-0499456

Descripteurs français

Pascal (Inist)
- Ecriture, Extraction forme, Reconnaissance caractère, Caractère manuscrit, Modélisation, Reconnaissance optique caractère, Texte.

English descriptors

KwdEn :
- Character recognition, Hand writing, Manuscript character, Modeling, Optical character recognition, Pattern extraction, Text.

Abstract

The problem of continuous handwritten text (CHT) recognition using standard continuous speech recognition technology is considered. Main advantages of this approach are a) system development is completely based on well understood training techniques and b) no segmentation of sentence or line images into characters or words is required, neither in the training nor in the recognition phases. Many recent papers address this problem in a similar way. Our work aims at contributing to this trend in two main aspects: i) We focus on the recognition of individual, isolated characters using the very same technology as for CHT recognition in order to tune essential representation parameters. The results are themselves interesting since they are comparable with state-of-the-art results on the same standard OCR database. And ii) all the work (except for the image processing and feature extraction steps) is strictly based on a well known and widely available standard toolkit for continuous speech recognition.

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

to stream PascalFrancis, to step Corpus: 000761
to stream PascalFrancis, to step Curation: 000033
to stream PascalFrancis, to step Checkpoint: 000715

Links to Exploration step

Pascal:00-0499456

Le document en format XML

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<front><div type="abstract" xml:lang="en">The problem of continuous handwritten text (CHT) recognition using standard continuous speech recognition technology is considered. Main advantages of this approach are a) system development is completely based on well understood training techniques and b) no segmentation of sentence or line images into characters or words is required, neither in the training nor in the recognition phases. Many recent papers address this problem in a similar way. Our work aims at contributing to this trend in two main aspects: i) We focus on the recognition of individual, isolated characters using the very same technology as for CHT recognition in order to tune essential representation parameters. The results are themselves interesting since they are comparable with state-of-the-art results on the same standard OCR database. And ii) all the work (except for the image processing and feature extraction steps) is strictly based on a well known and widely available standard toolkit for continuous speech recognition.</div>
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Offline recognition of syntax-constrained cursive handwritten text

Offline recognition of syntax-constrained cursive handwritten text

Source :

Descripteurs français

English descriptors

Abstract

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

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri