Intensifying the Security of Multiomodal Biometric Authentication System using Watermarking

Intensifying the Security of Multiomodal Biometric Authentication System using Watermarking

Shashi Choudhary

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Naveen Choudhary

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Maharana Pratap University of Agriculture and Technology

Intensifying the Security of Multiomodal Biometric Authentication System using Watermarking

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Abstract

In Multimodal biometrics system two or more biometric attributes are combined which makes it far more secure than unimodal system as it nullifies all the vulnerabilities of it. But with the prompt ontogenesis of information technology, even the biometric data is not secure. There is one such technique that is implemented to secure the biometric data from inadvertent or deliberate attacks is known as Digital watermarking. This paper postulate an approach that is devise in both the directions of enlarging the security through watermarking technique and improving the efficiency of biometric identification system by going multimodal. Three biometric traits are consider in this paper two of them are physical traits i.e. ; face, fingerprint and one is behavioral trait (signature).The biometric traits are initially metamorphose using Discrete Wavelet and Discrete Cosine Transformation and then watermarked using Singular Value Decomposition. Scheme depiction and presented results rationalize the effectiveness of the scheme.

References

17 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Shashi Choudhary. 2015. \u201cIntensifying the Security of Multiomodal Biometric Authentication System using Watermarking\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F4): .

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GJCST Volume 15 Issue F4
Pg. 1- 7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

D.4.6

Submission ReceivedDecember 13, 2014
Peer Review Double Blind
Handling Editor
Accepted January 2, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

December 29, 2015

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Shashi Choudhary, Naveen Choudhary (PhD/Dr. count: 0)

View Count (all-time): 289

Total Views (Real + Logic): 7713

Total Downloads (simulated): 1905

Publish Date: 2015 12, Tue

Monthly Totals (Real + Logic):

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Total Views: 7713

Total Downloads: 1905

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