Open Source OCR Framework Using Mobile Devices
Identifieur interne : 000231 ( PascalFrancis/Checkpoint ); précédent : 000230; suivant : 000232Open 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
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 :
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:
Links toward previous steps (curation, corpus...)
Links to Exploration step
Pascal:08-0426718Le document en format XML
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Crescent</s1><s2>Singapore 117576</s2><s3>SGP</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Singapour</country><wicri:noRegion>Singapore 117576</wicri:noRegion></affiliation></author><author><name sortKey="Winkler, Stefan" sort="Winkler, Stefan" uniqKey="Winkler S" first="Stefan" last="Winkler">Stefan Winkler</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Interactive Multimedia Lab, Department of Electrical and Computer Engineering National University of Singapore, 10 Kent Ridge Crescent</s1><s2>Singapore 117576</s2><s3>SGP</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Singapour</country><wicri:noRegion>Singapore 117576</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">08-0426718</idno><date when="2008">2008</date><idno type="stanalyst">PASCAL 08-0426718 INIST</idno><idno type="RBID">Pascal:08-0426718</idno><idno 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GILANI</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Interactive Multimedia Lab, Department of Electrical and Computer Engineering National University of Singapore, 10 Kent Ridge Crescent</s1><s2>Singapore 117576</s2><s3>SGP</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Singapour</country><wicri:noRegion>Singapore 117576</wicri:noRegion></affiliation></author><author><name sortKey="Winkler, Stefan" sort="Winkler, Stefan" uniqKey="Winkler S" first="Stefan" last="Winkler">Stefan Winkler</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Interactive Multimedia Lab, Department of Electrical and Computer Engineering National University of Singapore, 10 Kent Ridge Crescent</s1><s2>Singapore 117576</s2><s3>SGP</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Singapour</country><wicri:noRegion>Singapore 117576</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Proceedings electronic imaging science and technology</title></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Proceedings electronic imaging science and technology</title></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Character recognition</term><term>Electronic trade</term><term>Information browsing</term><term>Internet</term><term>Linguistic analysis</term><term>Mobile phone</term><term>Mobile platform</term><term>Mobile radiocommunication</term><term>Optical character recognition</term><term>Pattern recognition</term><term>Portable equipment</term><term>Reader</term><term>Speech synthesis</term><term>Subsystem</term><term>System synthesis</term><term>Wireless telecommunication</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Reconnaissance optique caractère</term><term>Radiocommunication service mobile</term><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><term>Sous système</term><term>Analyse linguistique</term><term>Reconnaissance forme</term><term>Télécommunication sans fil</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Commerce électronique</term><term>Télécommunication sans fil</term></keywords></textClass></profileDesc></teiHeader><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></front></TEI><inist><standard h6="B"><pA><fA05><s2>6821</s2></fA05><fA08 i1="01" i2="1" l="ENG"><s1>Open Source OCR Framework Using Mobile Devices</s1></fA08><fA09 i1="01" i2="1" l="ENG"><s1>Multimedia on mobile devices 2008 : 28-29 January 2008, San Jose, California, USA</s1></fA09><fA11 i1="01" i2="1"><s1>ZHIYING ZHOU (Steven)</s1></fA11><fA11 i1="02" i2="1"><s1>SYED OMER GILANI</s1></fA11><fA11 i1="03" i2="1"><s1>WINKLER (Stefan)</s1></fA11><fA12 i1="01" i2="1"><s1>CREUTZBURG (Reiner)</s1><s9>ed.</s9></fA12><fA12 i1="02" i2="1"><s1>TAKALA (Jarmo H.)</s1><s9>ed.</s9></fA12><fA14 i1="01"><s1>Interactive Multimedia Lab, Department of Electrical and Computer Engineering National University of Singapore, 10 Kent Ridge Crescent</s1><s2>Singapore 117576</s2><s3>SGP</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>3 aut.</sZ></fA14><fA18 i1="01" i2="1"><s1>IS & T--the Society for Imaging Science and Technology</s1><s3>USA</s3><s9>org-cong.</s9></fA18><fA18 i1="02" i2="1"><s1>Society of Photo-optical Instrumentation Engineers</s1><s3>USA</s3><s9>org-cong.</s9></fA18><fA20><s2>682104.1-682104.6</s2></fA20><fA21><s1>2008</s1></fA21><fA23 i1="01"><s0>ENG</s0></fA23><fA26 i1="01"><s0>978-0-8194-6993-9</s0></fA26><fA43 i1="01"><s1>INIST</s1><s2>21760</s2><s5>354000172854880030</s5></fA43><fA44><s0>0000</s0><s1>© 2008 INIST-CNRS. 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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. 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