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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15814
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dc.contributor.authorDas A.-
dc.contributor.authorBhunia A.K.-
dc.contributor.authorPratim Roy, Partha-
dc.contributor.authorPal U.-
dc.date.accessioned2020-12-02T11:41:44Z-
dc.date.available2020-12-02T11:41:44Z-
dc.date.issued2016-
dc.identifier.citationProceedings of 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015, (2016), 426- 430-
dc.identifier.isbn9.78148E+12-
dc.identifier.urihttps://doi.org/10.1109/ACPR.2015.7486539-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/15814-
dc.description.abstractIn this paper we present a line based word spotting system based on Hidden Markov Model for offline Indic scripts such as Bangla (Bengali) and Devanagari. We propose a novel approach of combining foreground and background information of text line images for keyword-spotting by character filler models. The candidate keywords are searched from a line without segmenting character or words. A significant improvement in performance is noted by using both foreground and background information than anyone alone. Pyramid Histogram of Oriented Gradient (PHOG) feature has been used in our word spotting framework and it outperforms other existing features of word spotting. The framework of combining foreground and background information has been evaluated in IAM dataset (English script) to show the robustness of the proposed approach. © 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.subjectData mining-
dc.subjectHidden Markov models-
dc.subjectImage segmentation-
dc.subjectMarkov processes-
dc.subjectPattern recognition-
dc.subjectSpeech recognition-
dc.subjectBackground information-
dc.subjectBengalis-
dc.subjectFiller models-
dc.subjectHandwritten words-
dc.subjectKeyword spotting-
dc.subjectPyramid histogram of oriented gradient (PHOG)-
dc.subjectText lines-
dc.subjectWord Spotting-
dc.subjectInformation use-
dc.titleHandwritten word spotting in Indic scripts using foreground and background information-
dc.typeConference Paper-
dc.scopusid57207436443-
dc.scopusid57188719920-
dc.scopusid56880478500-
dc.scopusid57200742116-
dc.affiliationDas, A., Dept. of ECE, IEM Kolkata, India-
dc.affiliationBhunia, A.K., Dept. of ECE, IEM Kolkata, India-
dc.affiliationRoy, P.P., Dept. of CSE, IIT Roorkee, India-
dc.affiliationPal, U., CVPR Unit, ISI Kolkata, 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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