OcrV1, Main, Exploration, bibRecord, 000D09

Open Source OCR Framework Using Mobile Devices

Identifieur interne : 000D09 ( Main/Exploration ); précédent : 000D08; suivant : 000D10

Open Source OCR Framework Using Mobile Devices

Auteurs : Steven Zhiying Zhou [Singapour] ; SYED OMER GILANI [Singapour] ; Stefan Winkler [Singapour]

Source :

Proceedings electronic imaging science and technology

RBID : Pascal:08-0426718

Descripteurs français

Pascal (Inist)
- Reconnaissance optique caractère, Radiocommunication service mobile, Téléphone portable, Appareil portatif, Navigation information, Internet, Commerce électronique, Lecteur, Plateforme mobile, Reconnaissance caractère, Synthèse système, Synthèse parole, Sous système, Analyse linguistique, Reconnaissance forme, Télécommunication sans fil.
Wicri :
- topic : Commerce électronique, Télécommunication sans fil.

English descriptors

KwdEn :
- Character recognition, Electronic trade, Information browsing, Internet, Linguistic analysis, Mobile phone, Mobile platform, Mobile radiocommunication, Optical character recognition, Pattern recognition, Portable equipment, Reader, Speech synthesis, Subsystem, System synthesis, Wireless telecommunication.

Abstract

Mobile phones have evolved from passive one-to-one communication device to powerful handheld computing device. Today most new mobile phones are capable of capturing images, recording video, and browsing internet and do much more. Exciting new social applications are emerging on mobile landscape, like, business card readers, sing detectors and translators. These applications help people quickly gather the information in digital format and interpret them without the need of carrying laptops or tablet PCs. However with all these advancements we find very few open source software available for mobile phones. For instance currently there are many open source OCR engines for desktop platform but, to our knowledge, none are available on mobile platform. Keeping this in perspective we propose a complete text detection and recognition system with speech synthesis ability, using existing desktop technology. In this work we developed a complete OCR framework with subsystems from open source desktop community. This includes a popular open source OCR engine named Tesseract for text detection & recognition and Flite speech synthesis module, for adding text-to-speech ability.

Affiliations:

Singapour

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

to stream PascalFrancis, to step Corpus: 000265
to stream PascalFrancis, to step Curation: 000519
to stream PascalFrancis, to step Checkpoint: 000231
to stream Main, to step Merge: 000D21
to stream Main, to step Curation: 000D09

Le document en format XML

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<term>Mobile platform</term>
<term>Mobile radiocommunication</term>
<term>Optical character recognition</term>
<term>Pattern recognition</term>
<term>Portable equipment</term>
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<term>Speech synthesis</term>
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<term>Téléphone portable</term>
<term>Appareil portatif</term>
<term>Navigation information</term>
<term>Internet</term>
<term>Commerce électronique</term>
<term>Lecteur</term>
<term>Plateforme mobile</term>
<term>Reconnaissance caractère</term>
<term>Synthèse système</term>
<term>Synthèse parole</term>
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<front><div type="abstract" xml:lang="en">Mobile phones have evolved from passive one-to-one communication device to powerful handheld computing device. Today most new mobile phones are capable of capturing images, recording video, and browsing internet and do much more. Exciting new social applications are emerging on mobile landscape, like, business card readers, sing detectors and translators. These applications help people quickly gather the information in digital format and interpret them without the need of carrying laptops or tablet PCs. However with all these advancements we find very few open source software available for mobile phones. For instance currently there are many open source OCR engines for desktop platform but, to our knowledge, none are available on mobile platform. Keeping this in perspective we propose a complete text detection and recognition system with speech synthesis ability, using existing desktop technology. In this work we developed a complete OCR framework with subsystems from open source desktop community. This includes a popular open source OCR engine named Tesseract for text detection & recognition and Flite speech synthesis module, for adding text-to-speech ability.</div>
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Open Source OCR Framework Using Mobile Devices

Open Source OCR Framework Using Mobile Devices

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