CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Multibiometric Personal Identification based on Hybrid Artificial Intelligence Technique using Serial Mode Architecture

by Laheeb M. Alzoubiady, Ibrahim A. Saleh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 18
Year of Publication: 2014
Authors: Laheeb M. Alzoubiady, Ibrahim A. Saleh
10.5120/15305-3686

Laheeb M. Alzoubiady, Ibrahim A. Saleh . Multibiometric Personal Identification based on Hybrid Artificial Intelligence Technique using Serial Mode Architecture. International Journal of Computer Applications. 87, 18 ( February 2014), 1-7. DOI=10.5120/15305-3686

@article{ 10.5120/15305-3686,
author = { Laheeb M. Alzoubiady, Ibrahim A. Saleh },
title = { Multibiometric Personal Identification based on Hybrid Artificial Intelligence Technique using Serial Mode Architecture },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 18 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number18/15305-3686/ },
doi = { 10.5120/15305-3686 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:13.483830+05:30
%A Laheeb M. Alzoubiady
%A Ibrahim A. Saleh
%T Multibiometric Personal Identification based on Hybrid Artificial Intelligence Technique using Serial Mode Architecture
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 18
%P 1-7
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this research a multibiometric identification system with serial mode using palmprint, Dental and DNA biometric traits is proposed to identify person. A proposed system consists of three steps, first step is to create a database where all the information about the authenticated users is stored. Second step is to extracts the features from a database images for palmprint and dental estimated the eigenvalues using KL transforming while the DNA data converted into ASCII code. The last step used hybrid Artificial technique combined backpropagation Neural Network and particle swarm optimization (PSO) as classifier and compare the test image with the stored information in the database. The experimental results applied cascaded (serial) mode show that the proposed system has an encouraging performance. The Genuine acceptance rate 98%, False Acceptance Rate (2%), False Rejected Rate (5%) and Recognition Rate (93%)

References
  1. Rashmi S. &Payal J. , 2012, "Multi Biometric System: Secure Security System "IJREAS Volume 2, Issue 2 ISSN: 2249-3905 International Journal of Research in Engineering & Applied Sciences 182 http://www. euroasiapub. org
  2. National Biometric Security Project, 2008, "Biometric Technology Application Manual" Volume One: Biometric Basics, Updated Summer.
  3. Singh H. & Gayathri R. ,2012, " Image Authentication Technique Using Fsim Algorithm" International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 Vol. 2, Issue 2, pp. 1129-1133. www. ijera. com
  4. Farhat Anwar, et al. 2008, "Multibiometric Systems Based Verification Technique" Faculty of Engineering, Department of ECE International Islamic, University Malaysia
  5. Marasco E. ,2010 "Secure Multbiometric Systems" PH. D thesis submitted to University of Naples Federico
  6. Chen A. K. Jain. , 2005, "Dental biometrics: alignment and matching of dental radiographs. Pattern Analysis and Machine Intelligence", IEEE Transactions on, 27(8):1319–1326
  7. Fierrez J. -Aguilar, et al, 2003 ''A comparative evaluation of fusion strategies for multimodal biometric verification'' Proceedings of the 4th International Conference Audio- Video-Based Biometric Person Authentication, Vol. LNCS 2688, pp. 830–837.
  8. Toh K. A. et al . 2004 "Exploiting global and local decisions for multi-modal biometrics verification" IEEE Transactions on Signal Processing, Vol. 52(10), pp. 3059–3072.
  9. Snelick R ⪙ al. 2005" Large Scale Evaluation of Multimodal Biometric Authentication Using State-of-the-Art Systems", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 27(3), pp. 450-455,
  10. Zhou, X. , and Bhanu B. , 2008, "Feature fusion of side face and gait for video-based human identification' Pattern Recognition, 41(3), 778–795. .
  11. Karthik K. , 2008 , "Multibiometric Systems: Fusion Strategies and Template Security" Mc. S thesis Submitted to Michigan State University, Department of Computer Science and Engineering.
  12. Park U. , 2009, "Face Recognition: face in video, age invariance, and facial marks" PH. D thesis submitted to Michigan State University, computer science.
  13. Richard Y. ,2011," Algorithm to Process and Measure Biometric Information Content in Low Quality Face and Iris Image" Ph. D thesis Faculty of Graduate and Postdoctoral Studies University of Ottawa Ottawa, Canada.
  14. Almayyan W. ,2012 "Performance Analysis of Multimodal Biometric Fusion " PhD Thesis Faculty of Technology De Montfort University England, United Kingdom February,
  15. Farhat A. , 2008, "Multibiometric Systems Based Verification Technique" Faculty of Engineering, Department of ECE International Islamic, University Malaysia.
  16. J. Fierrez-A , 2006, "Adapted Fusion Schemes for Multimodal Biometric Authentication" Ph. D thesis, Universidad Politecnica de Madrid.
  17. Vielhauer C. , 2005, " Biometric User Authentication for It Security: From IT Security " e. book, Published: New York : Springer.
  18. Karthik N. ,2005, " Integration of Multiple Cues in Biometric Systems " Ph. D thesis Submitted to Michigan State University in partial fulfillment of the requirements for the degree of Master of Science CDepartment of Computer Science and Engineering.
  19. Bhanu B. , 2011, "Multibiometrics for Human Identification" Edited by University of California, Riverside Venu Govindaraju State University of New York, Buffalo.
  20. Boulgouris N. V. et al,2008, " Theory, Methods, and Applications " IEEE Computational Intelligence Society, Sponsor IEEE Press Series on Computational Intelligence.
  21. Kryszczuk K. and Drygajlo A. , 2009, "Improving Biometric Verification with Class-Independence quality information " Swiss Federal Institute of Technology Lausanne (EPFL).
  22. Nageshkumar M. ,2009 " An Efficient Secure Multimodal Biometric Fusion Using Palmprint and Face Image" IJCSI International Journal of Computer Science Issues, Vol. 2.
  23. Sanghamitra B. , 2008, "Winter School on Data Mining and Computational Biology", of Indian Statistical Institute (ISI), Manipur University, Canchipur, Imphal.
  24. Wayman James, 2011 "Introduction to Biometrics " book in Library of Congress Control Number: 942231.
  25. Chen and A. K. Jain. , 2005;"Dental biometrics: alignment and matching of dental radiographs. Pattern Analysis and Machine Intelligence", IEEE Transactions on, 27(8):1319–1326.
  26. Chaunssot J. , 2004, " Filter with Progressively Decimated Filtering Windiw: Application To Color ,Image Enhancement " Lis/ENSIEG-BP 46 IEEE vol7803-8554.
  27. Herman, G. T. , 2009," Fundamentals of Computerized Tomography" Image Reconstruction from Projections" 2nd edu. Springer,Heidelberg.
  28. Lee, B. ,2010, "Comparative study of attribute selection using gain ratio and correlation based feature selection," International Journal of Information Technology and Knowledge Management, pp. 271–277.
  29. Jie Zhu et al. 2011 "Implementation of Modified KL Transform for LPR Systems" European Journal of Scientific Research ISSN 1450-216X Vol. 67 No. 4 (2012), pp. 521-531, Euro Journals Publishing, Inc.
  30. Nagaveni. N. ,"2011, "Semantically Enhanced Document Clustering Based on PSO Algorithm" book European Journal of Scientific Research ISSN 1450-216X Vol. 57 No. 3, pp. 485-493, EuroJournals Publishing, Inc.
  31. Sivaskar E. ,2011, "Comparison of Dimensionality Reduction Education Techniques Using a Backpropagation Neural Network Based Classifier " Ms. H Department of Computer Science and Engineering National Institute of Technology Tiruchirappalli Tamil Nadu, India
Index Terms

Computer Science
Information Sciences

Keywords

Index Terms –Multibiometric - serial mode- KL transform- backpropagation-Particle swarm intelligence- Verification- Identification

Powered by PhDFocusTM