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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15940
Title: Signature segmentation and recognition from scanned documents
Authors: Mandal R.
Pratim Roy, Partha
Pal U.
Blumenstein M.
Published in: Proceedings of International Conference on Intelligent Systems Design and Applications, ISDA
Abstract: Signature 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.
Citation: Proceedings of International Conference on Intelligent Systems Design and Applications, ISDA, (2014), 80- 85
URI: https://doi.org/10.1109/ISDA.2013.6920712
http://repository.iitr.ac.in/handle/123456789/15940
Issue Date: 2014
Publisher: IEEE Computer Society
Keywords: Bag-of-Features
Dense SIFT
Document image retrieval
Signature recognition
Signature segmentation
Spatial Pyramid Matching
ISBN: 9.78148E+12
ISSN: 21647143
Author Scopus IDs: 54410932900
56880478500
57200742116
56243577200
Author Affiliations: Mandal, R., School of Information and Communication Technology, Griffith UniversityQLD, Australia
Roy, P.P., Synchromedia Lab, Automation Engineering Department, Ecole de Technologie Superieure, Montreal, Canada
Pal, U., Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India
Blumenstein, M., School of Information and Communication Technology, Griffith UniversityQLD, Australia
Corresponding Author: Mandal, R.; School of Information and Communication Technology, Griffith UniversityAustralia
Appears in Collections:Conference Publications [CS]

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