Random Projection-based Cancelable Template Generation for Sparsely Distributed Biometric Patterns

Cancelable biometrics, a template transformation approach, attempts to provide robustness for authentication services based on biometrics. Several biometric template protection techniques represent the biometric information in binary form as it provides benefits in matching and storage. In this cont...

Full description

Saved in:
Bibliographic Details
Main Authors: Punithavathi, P. (Author), Geetha, S. (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2017-09-01.
Subjects:
Online Access:Get fulltext
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 02127 am a22003013u 4500
001 ijeecs8949_7523
042 |a dc 
100 1 0 |a Punithavathi, P.  |e author 
100 1 0 |e contributor 
700 1 0 |a Geetha, S.  |e author 
245 0 0 |a Random Projection-based Cancelable Template Generation for Sparsely Distributed Biometric Patterns 
260 |b Institute of Advanced Engineering and Science,   |c 2017-09-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/8949 
520 |a Cancelable biometrics, a template transformation approach, attempts to provide robustness for authentication services based on biometrics. Several biometric template protection techniques represent the biometric information in binary form as it provides benefits in matching and storage. In this context, it becomes clear that often such transformed binary representations can be easily compromised and breached. In this paper, we propose an efficient non-invertible template transformation approach using random projection technique and Discrete Fourier transformation to shield the binary biometric representations. The cancelable fingerprint templates designed by the proposed technique meets the requirements of revocability, diversity, non-invertibility and performance. The matching performance of the cancelable fingerprint templates generated using proposed technique, have improved when compared with the state-of-art methods. 
540 |a Copyright (c) 2017 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690
690
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 7, No 3: September 2017; 877-886 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v7.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/8949/7523 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/8949/7523  |z Get fulltext