A Novel Technique for Cancelable and Irrevocable Biometric Template Generation for Fingerprints

K.Kanagalakshmi

A Novel Technique for Cancelable and Irrevocable Biometric Template Generation for Fingerprints

K.Kanagalakshmi * §

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Dr. Mrs.K.Kanagalakshmi

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Dr. E. Chandra

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§ DJ Academy for Managerial Excellence, Coimbatore

A Novel Technique for Cancelable and Irrevocable Biometric Template Generation for Fingerprints

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Abstract

Cancelable biometric key generation is vital in biometric systems to protect sensitive information of users. A novel technique called Reciprocated Magnitude and Complex Conjugate-Phase (RMCCP) transform is proposed. This proposed method comprises of different components for the development of new method. It is tested with the multiple aspects such as cancelability, irrevocability and security. FVC database and real time datasets are used to observe the performance on Match score using ROC, time complexity, and space complexity. The experimental results show that the proposed method is better in all the aspects of performance.

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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

K.Kanagalakshmi, Dr. Mrs.K.Kanagalakshmi, Dr. E. Chandra. 2013. "A Novel Technique for Cancelable and Irrevocable Biometric Template Generation for Fingerprints". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F6).

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GJCST Volume 13 Issue F6

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

cancelability conjugate transpose irrevocability phase reciprocate shifting

Classification

GJCST-F Classification I.4.8

Submission ReceivedDecember 11, 2012
Peer Review Double Blind
Handling Editor
Accepted January 5, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

August 10, 2013

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: K.Kanagalakshmi, Dr. E.Chandra (PhD/Dr. count: 1)

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Publish Date: 2013 01, Tue

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