Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/71662
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dc.titleRobust approach towards text extraction from natural scene images captured via mobile devices
dc.contributor.authorJian, Y.
dc.contributor.authorKiong, T.K.
dc.contributor.authorHeng, L.T.
dc.date.accessioned2014-06-19T03:26:20Z
dc.date.available2014-06-19T03:26:20Z
dc.date.issued2009
dc.identifier.citationJian, Y.,Kiong, T.K.,Heng, L.T. (2009). Robust approach towards text extraction from natural scene images captured via mobile devices. Proceedings of the IASTED International Conference on Modelling, Simulation, and Identification, MSI 2009. ScholarBank@NUS Repository.
dc.identifier.isbn9780889868106
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71662
dc.description.abstractThe paper presents the development of a human-machine interactive software application, especifically useful for text extraction and translation from images which are captured using mobile and digital devices with cameras. The effectiveness of the proposed algorithm in meeting the challenges behind the processing of such images will be highlighted with real images. 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.
dc.sourceScopus
dc.subjectOCR
dc.subjectResource constraint
dc.subjectText extraction
dc.subjectTranslation
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleProceedings of the IASTED International Conference on Modelling, Simulation, and Identification, MSI 2009
dc.identifier.isiutNOT_IN_WOS
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