CFP last date
20 June 2024
Reseach Article

A Low Cost Computer based Fingerprint Security System for Restricted Access Control Automation using LabVIEW

by Jared Maato, Elijah Mwangi, Patrick M. Karimi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 163 - Number 8
Year of Publication: 2017
Authors: Jared Maato, Elijah Mwangi, Patrick M. Karimi
10.5120/ijca2017913670

Jared Maato, Elijah Mwangi, Patrick M. Karimi . A Low Cost Computer based Fingerprint Security System for Restricted Access Control Automation using LabVIEW. International Journal of Computer Applications. 163, 8 ( Apr 2017), 20-26. DOI=10.5120/ijca2017913670

@article{ 10.5120/ijca2017913670,
author = { Jared Maato, Elijah Mwangi, Patrick M. Karimi },
title = { A Low Cost Computer based Fingerprint Security System for Restricted Access Control Automation using LabVIEW },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 163 },
number = { 8 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 20-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume163/number8/27415-2017913670/ },
doi = { 10.5120/ijca2017913670 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:09:38.554482+05:30
%A Jared Maato
%A Elijah Mwangi
%A Patrick M. Karimi
%T A Low Cost Computer based Fingerprint Security System for Restricted Access Control Automation using LabVIEW
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 8
%P 20-26
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The access to a restricted area is normally done through a manual system of keys and locks. In some places, it has been automated through the use of personal identification number or passwords and smartcard technology. However, such systems are faced with a number of limitations such as losing a smartcard, forgetting a PIN, duplication of keys and impersonation among others. Thus the use of an authentication system such as biometric verification techniques has recently been suggested for security system for instance access control. Unfortunately, biometric systems for access control currently in the market are expensive thus restricting their wide usage. This is because they are available as embedded units made of high-cost sensors and hardware. In this research study, a prototype of a computer based fingerprint door access control is designed and presented. The main components include a low-cost SM630 fingerprint verification module, a personal computer and a relay-operated electromagnetic lock. The system performs training and verification using a LabVIEW program in conjunction with the SM630 fingerprint reader module. The verification result is passed onto the electromagnetic lock to grant physical access to a restricted area. The system has an additional feature of capturing an imposter image. This is an important tool in carrying out security analysis. It has been found through testing that the proposed system can be effectively applied in restricted access control.

References
  1. Wahyudi, W.A and Mohamed, S. (2007). Intelligent Voice-Based Door Access control System Using Adaptive-Network Fuzzy Inference System (ANFIS) for Building Security. Journal of computer Science 3(5): 274-280
  2. Oke, A.O., Olaniyi, O.M., Arulogun, O.T. and Oloniyani, O.M. (2009). Development of a Microcontroller-Controlled Security Door System. The Pacific Journal of Science and Technology 10, 398-403
  3. Osadciw, L., Varshney, P. and Veeramachaneni, K. (2002). Improving Personal Identification Accuracy Using Multisensor Fusion for Building Acess Control Application. In Proceedings of the Fifth International Conference of Information Fusion: 1176-1183
  4. Kung, S.Y., Mak, M.W. and Lin, S.H. (2004). Biometric Authentication: Machine Learning Approach. Prentice Hall.
  5. Chaudhry, K. and Nakra, P. (2004). Instrumentation, Measurement and Analysis. Tata McGraw-Hill, New Delphi.
  6. Ketui,D.K., Karimi,P.M., and Merenga, A.S. (2012). Design and Fabrication of a Computer Based Firefighting System Automated Using Labview. International Journal of Current Research. 4 (3): 258-263
  7. Agumba, J.O., Katana, G.G. and Karimi, P.M. (2011). Towards virtual laboratories: a survey of LabVIEW-based conduction of science experiments via the internet with an illustrative consideration of remote control of an oscilloscope. International Journal of Current Research. 33 (6): 123-127
  8. Arulogun, O.T., Omidiora, E.O., Olaniyi, O.M, and. Ipadeola, A. (2008). Development of Security System using Facial Recognition. The Pacific Journal of Science and Technology 9: 377-385
  9. Ashraf, E.S. (2011). Design and Implementation Biometrics control system Using Fingerprint for restricted area Based on Gabor Filter. The International Arab Journal of Information technology 8: 355-363
  10. Iwasokun, G.B (2015). Fingerprint Matching Using Minutiae-Singular Points Network. International Journal of Signal Processing, Image and Pattern Recognition 8: 375-388
  11. Kumar D. and Ummal S. (2013). A Comparative Study on Fingerprint Matching Algorithms for EVM. Journal of Computer Sciences and Applications 1(4) :55-60
  12. Maltoni, D., Maio, D., Jain, A.K. and Prabhakar, S. (2003). Handbook of Fingerprint Recognition. Springer Verlag, New York.
  13. Mazumdar, S. and Venkata, D. (2013). Biometric Security Using Fingerprint Recognition. University of California, San Diego
  14. Jain, A.K., Jianjiang, F. and Karthink, N. (2010). Fingerprint Matching. IEEE Computer Society, 36-44
  15. http://www.ftdichip.com/Drivers/VCP.htm accessed February 2017
  16. Miaxis Biometrics (2008). SM630 Fingerprint Verification Module User Manual. http:// www.miaxis.com
  17. http://www.ftdichip.com/products/ICs/FT245R.htm (2016). About FT245R
Index Terms

Computer Science
Information Sciences

Keywords

LabVIEW access control SM630 automation.