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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15796
Title: Fast signature spotting in continuous air writing
Authors: Behera S.K.
Kumar P.
Dogra D.P.
Pratim Roy, Partha
Published in: Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017
Abstract: Development of depth sensors paves way for implementation of touch-less biometric authentication systems using 3D gestures or signatures. No keys or passwords are required in such systems to prove identities. Moreover, the systems do not suffer from various security risks such as stolen passwords or loss of passwords. In this paper, we propose such a security system that is robust in nature by allowing a user to perform random gestures before and after a signature during authentication. Since the signature can appear within any position of a gesture pattern, correct spotting of the actual signature is extremely important. In this paper, we propose a signature spotting mechanism that has been accomplished using a window-based analysis on feature sequence. An efficient searching strategy has been proposed using 3D convex hull points. Dynamic Time Warping (DTW) has been used to perform the verification of the spotted signatures. Our proposed method achieves 80% accuracy for signature spotting with less computational overhead. The method can be used, on applications requiring robust authentication in a huge dataset. © 2017 MVA Organization All Rights Reserved.
Citation: Proceedings of the 15th IAPR International Conference on Machine Vision Applications, MVA 2017, (2017), 314- 317
URI: https://doi.org/10.23919/MVA.2017.7986864
http://repository.iitr.ac.in/handle/123456789/15796
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Computer vision
Network security
Biometric authentication system
Computational overheads
Depth sensors
Dynamic time warping
Feature sequence
Searching strategy
Security risks
Window-based
Authentication
ISBN: 9.7849E+12
Author Scopus IDs: 37057132600
57212043589
35408975400
56880478500
Author Affiliations: Behera, S.K., School of Electrical Science, IIT, Bhubaneswar, India
Kumar, P., Department of Computer Science and Engineering, IIT, Roorkee, India
Dogra, D.P., School of Electrical Science, IIT, Bhubaneswar, India
Roy, P.P., Department of Computer Science and Engineering, IIT, Roorkee, India
Appears in Collections:Conference Publications [CS]

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