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Reseach Article

Proposed Architecture for Enhancing the Efficiency of Security Systems by using Systematic Combination of Different Recognition Systems

by Prateek Ranjan, Keshav Jindal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 123 - Number 10
Year of Publication: 2015
Authors: Prateek Ranjan, Keshav Jindal
10.5120/ijca2015905465

Prateek Ranjan, Keshav Jindal . Proposed Architecture for Enhancing the Efficiency of Security Systems by using Systematic Combination of Different Recognition Systems. International Journal of Computer Applications. 123, 10 ( August 2015), 1-6. DOI=10.5120/ijca2015905465

@article{ 10.5120/ijca2015905465,
author = { Prateek Ranjan, Keshav Jindal },
title = { Proposed Architecture for Enhancing the Efficiency of Security Systems by using Systematic Combination of Different Recognition Systems },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 123 },
number = { 10 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume123/number10/21992-2015905465/ },
doi = { 10.5120/ijca2015905465 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:12:18.381005+05:30
%A Prateek Ranjan
%A Keshav Jindal
%T Proposed Architecture for Enhancing the Efficiency of Security Systems by using Systematic Combination of Different Recognition Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 123
%N 10
%P 1-6
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Envisaging a future where the interaction between human and a computer has become advanced enough so as to be able to understand the motion of an arm, blink of an eye or even the emotions of a human. With the interaction between humans and computers becoming decidedly easy for us, now is the right time to use such an advanced technology in order to secure our information in computers and private networks. We are well aware of the importance and the money spent in order to either collect information or to protect information. Therefore, in this paper we are proposing the architecture of a security system that uses the gesture and human body action recognition techniques in the efforts of creating a safe, secure and spoof free system for access to critically important information.

References
  1. M. Sravani and P. Praveen Kumar, “FVAS: An Embedded Finger-Vein Authentication System for Mobile Devices” International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, Issue 11, pp: 2901-2904, November 2013.
  2. Muthuselvi M, Mr. Manikandan, “An Embedded Real-Time Biometric Recognition System for Defense system” IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), Volume 5, Issue 4, PP 31-35, Mar. - Apr. 2013.
  3. DaryRam.T.R., “AN EMBEDDED FINGER VEIN RECOGNITION SYSTEM” IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308, Volume: 03 Special Issue: 01 | NC-WiCOMET-2014 | Mar-2014
  4. Masaki Watanabe, Toshio Endoh, MoritoShiohara, and Shigeru Sasaki,“Palm vein authentication technology and its applications”
  5. http://www.biometrics.org/bc2005/Presentations/Conference/1%2 Face Recognition Based on Principal Component0Monday%20 Face Recognition Based on Principal ComponentSeptember%2019/Poster%20Session/Watanabe_1568964435_BioSymposium_2005.pdf
  6. Chunyu Wang, Yizhou Wang, and Alan L. Yuille, Peking University, Beijing, 100871, China “An approach to pose-based action recognition” PP. 4321-4328
  7. Ali Javed,“Face Recognition Based on Principal Component Analysis” IJIGSP: International Journal of Image, Graphics and Signal Processing (IJIGSP)Vol.5, No.2,PP.38-44, February 2013.
  8. https://www.fbi.gov/about-us/cjis/fingerprints_biometrics/biometric-center-of-excellence/files/face-recognition.pdf Nation Science and Technology Council (NSTC)
  9. Prateek Ranjan, Keshav Jindal, “Hand Gesture Recognition” IIMEDII-2015 Proceedings, ISBN- 978-16-31024-51-1, Vol. 1 21st March 2015, PP- 57-60.
  10. B. B. Mandelbrot, Fractals: Form, Chance and Dimension, San Francisco, CA: Freeman, 1977.
  11. Mohamed Alsheakhali, Ahmed Skaik, Mohammed Aldahdouh, Mahmoud Alhelou, “Hand Gesture Recognition System” Computer Engineering Department, The Islamic University of Gaza, Gaza Strip, Palestine, 2011
  12. Rafiqul Zaman Khan and Noor Adnan Ibraheem, “HAND GESTURE RECOGNITION: A LITERATURE REVIEW” International Journal of Artificial Intelligence & Applications (IJAIA), Vol.3, No.4, pp: 161-174, July 2012
  13. A.Ushapriya, M.Subramani, “Highly Secure and Reliable User Identification Based on Finger Vein Patterns” Global Journal of Research in Engineering, Volume 11 Issue 3, Version 1.0 April 2011
  14. Swapnil Athavale, Mona Deshmukh, “Dynamic Hand Gesture Recognition for Human Computer interaction; A Comparative Study” International Journal of Engineering Research and General Science Volume 2, Issue 2,PP 38-55, Feb-Mar 2014, ISSN 2091-2730.
  15. Ross Anderson and Tyler Moore, “Information Security Economics – and Beyond” Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, Cambridge CB3 0FD, United Kingdom.
  16. Ying Wu, Thomas S. Huang, “Vision Based Gesture Recognition: A Review” Beckman Institute, 405 N. Mathews University of Illinois.
  17. Kashmera Khedkkar Safaya, Prof. (Dr.) J. W. Bakal, “Real Time Based Bare Hand Gesture Recognition” IPASJ International Journal of Information Technology (IIJIT), Volume 1, Issue 2, PP. 1-9, July 2013 ISSN 2321-5976.
  18. Konstantinos N. Plataniotis, Dimitrios Hatzinakos, Jimmy K. M. Lee, “ECG BIOMETRIC RECOGNITION WITHOUT FIDUCIAL DETECTION” Edward S. Rogers Sr. Department of Electrical And Computer Engineering, 2006 Biometrics Symposium, University Of Toronto.
  19. Dr. S. Balaji, G. Gayathri, K. Lokesh, S. Sindhu, “A Novel Iris Recognition System Using Statistical Feature Analysis By Haar Wavelet” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 2 (6) , 2011, PP.- 2659-2662.
  20. Prakash Chandra Srivastava, Anupam Agrawal, Kamta Nath Mishra, P. K. Ojha, R. Garg, “Fingerprints, Iris and DNA Features based Multimodal Systems: A Review” I.J. Information Technology and Computer Science, 2013,Vol.- 02, 88-111.
Index Terms

Computer Science
Information Sciences

Keywords

Vein Recognition System Hand Gesture Recognition Action Recognition System Information Security Face Recognition System Security System