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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5552
Title: A multimodal biometric watermarking system for digital images in redundant discrete wavelet transform
Authors: Singh P.
Raman B.
Roy P.P.
Published in: Multimedia Tools and Applications
Abstract: The traditional watermarking algorithms prove the rightful ownership via embedding of independent watermarks like copyright logos, random noise sequences, text etc into the cover images. Coupling biometrics with watermarking evolved as new and secure approach as it embeds user specific biometric traits and thus, narrows down the vulnerability to impostor attacks. A multimodal biometric watermarking system has been proposed in this paper in the redundant discrete wavelet transform(RDWT). Two biometric traits of the user i.e. the iris and facial features are embedded independently into the sub-bands of the RDWT of cover image taking advantage of its translation invariant property and sufficient embedding capacity. The ownership verification accuracy of the proposed system is tested based on the individual biometric traits as well as the fused trait. The accuracy was enhanced while using the fused score for evaluation. The security of the scheme is strengthened with usage of non-linear chaotic maps, randomization via Hessenberg decomposition, Arnold scrambling and multiple secret keys. The robustness of the scheme has been tested against various attacks and the verification accuracy evaluated based on false acceptance rate, false rejection rate, area under curve and equal error rate to validate the efficacy of the proposed scheme. © 2016, Springer Science+Business Media New York.
Citation: Multimedia Tools and Applications (2017), 76(3): 3871-3897
URI: https://doi.org/10.1007/s11042-016-4048-0
http://repository.iitr.ac.in/handle/123456789/5552
Issue Date: 2017
Publisher: Springer New York LLC
Keywords: Area under curve
Arnold scrambling
Equal error rate
False acceptance rate
False rejection rate
Hessenberg decomposition
Impostor attacks
Multimodal biometric systems
Non-linear chaotic maps
Redundant discrete wavelet transform(RDWT)
Rightful ownership
ISSN: 13807501
Author Scopus IDs: 57212591690
23135470700
56880478500
Author Affiliations: Singh, P., Indian Institute of Technology Roorkee, Roorkee, India
Raman, B., Indian Institute of Technology Roorkee, Roorkee, India
Roy, P.P., Indian Institute of Technology Roorkee, Roorkee, India
Corresponding Author: Singh, P.; Indian Institute of Technology RoorkeeIndia; email: priyankiitr@iitr.ac.in
Appears in Collections:Journal Publications [CS]

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