OcrV1, Main, Exploration, bibRecord, 001368

The BBN Byblos Hindi OCR system

Identifieur interne : 001368 ( Main/Exploration ); précédent : 001367; suivant : 001369

The BBN Byblos Hindi OCR system

Auteurs : Prem Natarajan [États-Unis] ; Ehry Macrostie [États-Unis] ; Michael Decerbo [États-Unis]

Source :

SPIE proceedings series [ 1017-2653 ] ; 2005.

RBID : Pascal:05-0361372

Descripteurs français

Pascal (Inist)
- Reconnaissance optique caractère, Implémentation, Modèle Markov variable cachée, Arabe, Anglais, Chinois, Japonais, Apprentissage, Formation image, Traitement image document, Appareillage essai, Taux erreur, Approche probabiliste.

English descriptors

KwdEn :
- Arabic, Chinese, Document image processing, English, Error rate, Hidden Markov models, Imaging, Implementation, Japanese, Learning, Optical character recognition, Probabilistic approach, Testing equipment.

Abstract

The BBN Byblos OCR system implements a script-independent methodology for OCR using Hidden Markov Models (HMMs). We have successfully ported the system to Arabic, English, Chinese. Pashto, and Japanese. In this paper, we report on our recent effort in training the system to perform recognition of Hindi (Devanagari) documents. The initial experiments reported in this paper were performed using a corpus of synthetic (computer-generated) document images along with slightly degraded versions of the same that were generated by scanning printed versions of the document images and by scanning faxes of the printed versions. On a fair test set consisting of synthetic images alone we measured a character error rate of 1.0%. The character error rate on a fair test set consisting of scanned images (scans of printed versions of the synthetic images) was 1.40% while the character error rate on a fair test set of fax images (scans of printed and faxed versions of the synthetic images) was 8.7%.

Affiliations:

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

to stream PascalFrancis, to step Corpus: 000455
to stream PascalFrancis, to step Curation: 000333
to stream PascalFrancis, to step Checkpoint: 000375
to stream Main, to step Merge: 001405
to stream Main, to step Curation: 001368

Le document en format XML

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<term>Formation image</term>
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<front><div type="abstract" xml:lang="en">The BBN Byblos OCR system implements a script-independent methodology for OCR using Hidden Markov Models (HMMs). We have successfully ported the system to Arabic, English, Chinese. Pashto, and Japanese. In this paper, we report on our recent effort in training the system to perform recognition of Hindi (Devanagari) documents. The initial experiments reported in this paper were performed using a corpus of synthetic (computer-generated) document images along with slightly degraded versions of the same that were generated by scanning printed versions of the document images and by scanning faxes of the printed versions. On a fair test set consisting of synthetic images alone we measured a character error rate of 1.0%. The character error rate on a fair test set consisting of scanned images (scans of printed versions of the synthetic images) was 1.40% while the character error rate on a fair test set of fax images (scans of printed and faxed versions of the synthetic images) was 8.7%.</div>
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The BBN Byblos Hindi OCR system

The BBN Byblos Hindi OCR system

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