Multimodal Biometric Authentication System: Challenges and Solutions

Shyam Sunder Yadav

Multimodal Biometric Authentication System: Challenges and Solutions

Shyam Sunder Yadav * §

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§ Rajasthan University

Multimodal Biometric Authentication System: Challenges and Solutions

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Abstract

Biometric technologies are automated methods for measuring and analyzing biological data, extracting a feature set from acquired data and comparing this set against to the templates set in the database. Unimodal biometric system have variety of problems such as noisy data, spool attacks etc. Multimodal biometrics refers the combination of two or more biometric modalities in a single identification. Most biometric verification systems are done based on knowledge base and token based identification these are prone to fraud. Biometric authentication employs unique combinations of measurable physical characteristics-fingerprint, facial features , iris of the eye, voice print and so on-that cannot be readily imitated or forged by others. This paper discuss the various scenarios that are possible in multi model biometric system , the level of fusion that are plausible and the integration strategic that can be adopted to consolidate information. Fusion methods include processing biometric madalitics sequential until an acceptable match is obtained.

References

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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

Shyam Yadav. . "Multimodal Biometric Authentication System: Challenges and Solutions". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 16).

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GJCST Volume 11 Issue 16

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Authentication Fingerprint Fusion Multimodal Biometrics Templates

Classification

GJCST Classification D.4.6

K.6.5

Submission ReceivedJuly 18, 2011
Peer Review Double Blind
Handling Editor
Accepted August 8, 2011
Published August 19, 2011

Version of record

v1.2

Issue date

September 7, 2011

Language

English

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Article Matrices

Total Score: 148

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Shyam Sunder Yadav, Jitendra Kumar Gothwal, Prof. (Dr.) Ram Singh, (PhD/Dr. count: 1)

View Count (all-time): 238

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Publish Date: 2011 08, Fri

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Total Views: 4.7K

Total Downloads: 333

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