Please use this identifier to cite or link to this item: https://doi.org/10.1117/12.766588
DC FieldValue
dc.titleOpen source OCR framework using mobile devices
dc.contributor.authorZhou, S.Z.
dc.contributor.authorGilani, S.O.
dc.contributor.authorWinkler, S.
dc.date.accessioned2014-06-19T03:21:45Z
dc.date.available2014-06-19T03:21:45Z
dc.date.issued2008
dc.identifier.citationZhou, S.Z., Gilani, S.O., Winkler, S. (2008). Open source OCR framework using mobile devices. Proceedings of SPIE - The International Society for Optical Engineering 6821 : -. ScholarBank@NUS Repository. https://doi.org/10.1117/12.766588
dc.identifier.isbn9780819469939
dc.identifier.issn0277786X
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71265
dc.description.abstractMobile 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. © 2008 SPIE-IS&T.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1117/12.766588
dc.sourceScopus
dc.subjectMobile devices
dc.subjectOCR
dc.subjectOpen source
dc.subjectText-to-speech
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1117/12.766588
dc.description.sourcetitleProceedings of SPIE - The International Society for Optical Engineering
dc.description.volume6821
dc.description.page-
dc.description.codenPSISD
dc.identifier.isiut000255636500003
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