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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15940
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dc.contributor.authorMandal R.-
dc.contributor.authorPratim Roy, Partha-
dc.contributor.authorPal U.-
dc.contributor.authorBlumenstein M.-
dc.date.accessioned2020-12-02T11:42:02Z-
dc.date.available2020-12-02T11:42:02Z-
dc.date.issued2014-
dc.identifier.citationProceedings of International Conference on Intelligent Systems Design and Applications, ISDA, (2014), 80- 85-
dc.identifier.isbn9.78148E+12-
dc.identifier.issn21647143-
dc.identifier.urihttps://doi.org/10.1109/ISDA.2013.6920712-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/15940-
dc.description.abstractSignature as a query is important for content-based document image retrieval from a scanned document repository. This paper presents a two-stage approach towards automatic signature segmentation and recognition from scanned document images. In the first stage, signature blocks are segmented from the document using word-wise component extraction and classification. Gradient based features are extracted from each component at the word level to perform the classification task. In the 2nd stage, SIFT (Scale-Invariant Feature Transform) descriptors and Spatial Pyramid Matching (SPM)-based approaches are used for signature recognition. Support Vector Machines (SVMs) are employed as the classifier for both levels in this experiment. The experiments are performed on the publicly available 'Tobacco-800' and GPDS [1] datasets and the results obtained from the experiments are promising. © 2013 IEEE.-
dc.language.isoen_US-
dc.publisherIEEE Computer Society-
dc.relation.ispartofProceedings of International Conference on Intelligent Systems Design and Applications, ISDA-
dc.subjectBag-of-Features-
dc.subjectDense SIFT-
dc.subjectDocument image retrieval-
dc.subjectSignature recognition-
dc.subjectSignature segmentation-
dc.subjectSpatial Pyramid Matching-
dc.titleSignature segmentation and recognition from scanned documents-
dc.typeConference Paper-
dc.scopusid54410932900-
dc.scopusid56880478500-
dc.scopusid57200742116-
dc.scopusid56243577200-
dc.affiliationMandal, R., School of Information and Communication Technology, Griffith UniversityQLD, Australia-
dc.affiliationRoy, P.P., Synchromedia Lab, Automation Engineering Department, Ecole de Technologie Superieure, Montreal, Canada-
dc.affiliationPal, U., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India-
dc.affiliationBlumenstein, M., School of Information and Communication Technology, Griffith UniversityQLD, Australia-
dc.description.correspondingauthorMandal, R.; School of Information and Communication Technology, Griffith UniversityAustralia-
dc.identifier.conferencedetails2013 13th International Conference on Intellient Systems Design and Applications, ISDA 2013, 8-10 December 2013-
Appears in Collections:Conference Publications [CS]

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