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A Bimodal Biometric Technique Based Enhanced Real-Time ATM System with Intelligence Security Measures

Vithya T.1 , Parthiban S.2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-4 , Page no. 59-63, Apr-2014

Online published on Apr 30, 2014

Copyright © Vithya T., Parthiban S. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Vithya T., Parthiban S., “A Bimodal Biometric Technique Based Enhanced Real-Time ATM System with Intelligence Security Measures,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.4, pp.59-63, 2014.

MLA Style Citation: Vithya T., Parthiban S. "A Bimodal Biometric Technique Based Enhanced Real-Time ATM System with Intelligence Security Measures." International Journal of Computer Sciences and Engineering 2.4 (2014): 59-63.

APA Style Citation: Vithya T., Parthiban S., (2014). A Bimodal Biometric Technique Based Enhanced Real-Time ATM System with Intelligence Security Measures. International Journal of Computer Sciences and Engineering, 2(4), 59-63.

BibTex Style Citation:
@article{T._2014,
author = {Vithya T., Parthiban S.},
title = {A Bimodal Biometric Technique Based Enhanced Real-Time ATM System with Intelligence Security Measures},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2014},
volume = {2},
Issue = {4},
month = {4},
year = {2014},
issn = {2347-2693},
pages = {59-63},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=109},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=109
TI - A Bimodal Biometric Technique Based Enhanced Real-Time ATM System with Intelligence Security Measures
T2 - International Journal of Computer Sciences and Engineering
AU - Vithya T., Parthiban S.
PY - 2014
DA - 2014/04/30
PB - IJCSE, Indore, INDIA
SP - 59-63
IS - 4
VL - 2
SN - 2347-2693
ER -

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Abstract

In this paper, a real-time embedded multimodal biometric recognition system for authentication on Automated teller machine is being developed. The system is implemented on an embedded platform and equipped with novel multimodal recognition algorithms, so this system is an intelligent security system; it is developed based on a teller machine concept. Wherein, the transaction is successful, If and only if the biometric used is matched and GSM technology is used.

Key-Words / Index Term

Bimodal Biometric, Decision Level Fusion, Finger vein, Iris Recognition, GSM

References

[1]. Houda Benaliouche andMohamed Touahria , �Comparative Study of Multimodal Biometric Recognition by Fusion of Iris and Fingerprint�, Computer Science Department, University of Ferhat Abbas S�etif 1, P�ole 2 - El Bez, 19000 S�etif, Algeria Received 28 August 2013;
[2]. Yanagawa,A.K. Aoki,Y and Ohyama,I,�An Europe`s first finger-vein biometric ATMs installed� ,Proc. IEEE International Symposium on Intelligent Control in Poland July 2011.
[3]. Sri Shimal Das and Smt. Jhunu Debbarma �Designing a Biometric Strategy (Fingerprint) Measure for Enhancing ATM Security in Indian e-banking System� Volume 1 No. 5, September 2011 ISSN-2223-4985 IJICT ,2011.
[4]. Sanchez-Reillo,R.Fernandez-Saavedra,B. & Liu-Jimenez,J,�Iris Biometrics for Embedded Systems� Very Large Scale Integration (VLSI) Systems, IEEE Transactions on (Volume:19, Issue:2 ) Biometrics Compendium, IEEE Trans, Feb. 2009
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