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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15950
Title: Study of zone-based feature for online handwritten signature recognition and verification in Devanagari script
Authors: Ghosh R.
Pratim Roy, Partha
Kumar S.
Raman B.
Roy [initials]P.P.
Sen D.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: This paper presents one zone-based feature extraction approach for online handwritten signature recognition and verification of one of the major Indic scripts–Devanagari. To the best of our knowledge no work is available for signature recognition and verification in Indic scripts. Here, the entire online image is divided into a number of local zones. In this approach, named Zone wise Slopes of Dominant Points (ZSDP), the dominant points are detected first from each stroke and next the slope angles between consecutive dominant points are calculated and features are extracted in these local zones. Next, these features are supplied to two different classifiers; Hidden Markov Model (HMM) and Support Vector Machine (SVM) for recognition and verification of signatures. An exhaustive experiment in a large dataset is performed using this zone-based feature on original and forged signatures in Devanagari script and encouraging results are found. © Springer Science+Business Media Singapore 2017.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2017), 523- 530
URI: https://doi.org/10.1007/978-981-10-2107-7_47
http://repository.iitr.ac.in/handle/123456789/15950
Issue Date: 2017
Publisher: Springer Verlag
Keywords: Dominant points
Online handwriting
Signature recognition
Signature verification
SVM and HMM
Zone-wise feature
ISBN: 9.78981E+12
ISSN: 21945357
Author Scopus IDs: 36025087600
56880478500
Author Affiliations: Ghosh, R., Department of Computer Science & Engineering, National Institute of Technology, Patna, India
Roy, P.P., Department of Computer Science & Engineering, Indian Institute of Technology, Roorkee, India
Corresponding Author: Ghosh, R.; Department of Computer Science & Engineering, National Institute of TechnologyIndia; email: rajib.ghosh@nitp.ac.in
Appears in Collections:Conference Publications [CS]

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