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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15931
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dc.contributor.authorBosamiya J.H.-
dc.contributor.authorAgrawal P.-
dc.contributor.authorPratim Roy, Partha-
dc.contributor.authorBalasubramanian R.-
dc.date.accessioned2020-12-02T11:42:01Z-
dc.date.available2020-12-02T11:42:01Z-
dc.date.issued2016-
dc.identifier.citationProceedings of 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015, (2016), 151- 155-
dc.identifier.isbn9.78148E+12-
dc.identifier.urihttps://doi.org/10.1109/ACPR.2015.7486484-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/15931-
dc.description.abstractIn this paper, a novel script independent scene text segmentation method is presented. The proposed method introduces an approach for character segmentation which combines the advantages of connected component analysis, stroke width analysis and graph cuts. The method was evaluated on a standard dataset, and also on a custom dataset of scene images of text from various Indian scripts. Additionally, a fast implementation of Stroke Width Transform (SWT) is presented here, which improves speed over other implementations by 79%. From our experiments, we have achieved encouraging results on the usefulness of the combination of text/non-text classification with GrabCut. The technique is robust to the language/script of text. © 2015 IEEE.-
dc.description.sponsorshipFUSIONEX-
dc.language.isoen_US-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.ispartofProceedings of 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015-
dc.subjectGraphic methods-
dc.subjectImage segmentation-
dc.subjectOptical character recognition-
dc.subjectPattern recognition-
dc.subjectText processing-
dc.subjectCharacter segmentation-
dc.subjectConnected component analysis-
dc.subjectFast implementation-
dc.subjectIndian scripts-
dc.subjectScene image-
dc.subjectScene Text-
dc.subjectScript-independent-
dc.subjectStroke widths-
dc.subjectCharacter recognition-
dc.titleScript independent scene text segmentation using fast stroke width transform and GrabCut-
dc.typeConference Paper-
dc.scopusid57190282289-
dc.scopusid57190276702-
dc.scopusid56880478500-
dc.scopusid7103127999-
dc.affiliationBosamiya, J.H., Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, 247667, India-
dc.affiliationAgrawal, P., Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, 247667, India-
dc.affiliationRoy, P.P., Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, 247667, India-
dc.affiliationBalasubramanian, R., Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, 247667, India-
dc.identifier.conferencedetails3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015, 3-6 November 2016-
Appears in Collections:Conference Publications [CS]

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