Please use this identifier to cite or link to this item: https://doi.org/10.1109/AIM.2009.5229951
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dc.titleText extraction from images captured via mobile and digital devices
dc.contributor.authorYuan, J.
dc.contributor.authorZhang, Y.
dc.contributor.authorKok, K.T.
dc.contributor.authorTong, H.L.
dc.date.accessioned2014-06-19T03:29:49Z
dc.date.available2014-06-19T03:29:49Z
dc.date.issued2009
dc.identifier.citationYuan, J., Zhang, Y., Kok, K.T., Tong, H.L. (2009). Text extraction from images captured via mobile and digital devices. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM : 566-571. ScholarBank@NUS Repository. https://doi.org/10.1109/AIM.2009.5229951
dc.identifier.isbn9781424428533
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71959
dc.description.abstractThis paper presents the development of a human-machine interactive software application, named 'Textract', for text extraction and recognition in natural scene images captured via mobile and digital devices. The texts are subsequently translated into another language (simplified Chinese in this project) so that a device such as a mobile phone serves as a portable language translator. In considering of the resource constraint nature of mobile devices, the proposed solution makes best possible choices to balance between recognition accuracy and processing speed. ©2009 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/AIM.2009.5229951
dc.sourceScopus
dc.subjectEdge detection
dc.subjectLabeling
dc.subjectOCR
dc.subjectSegmentation
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/AIM.2009.5229951
dc.description.sourcetitleIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
dc.description.page566-571
dc.identifier.isiut000277062800097
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