CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Model based Approach for Multimodal Biometric Recognition

by Manas Kumar Choudhury, Y.srinivas
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 104 - Number 11
Year of Publication: 2014
Authors: Manas Kumar Choudhury, Y.srinivas
10.5120/18250-9338

Manas Kumar Choudhury, Y.srinivas . A Model based Approach for Multimodal Biometric Recognition. International Journal of Computer Applications. 104, 11 ( October 2014), 35-38. DOI=10.5120/18250-9338

@article{ 10.5120/18250-9338,
author = { Manas Kumar Choudhury, Y.srinivas },
title = { A Model based Approach for Multimodal Biometric Recognition },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 104 },
number = { 11 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 35-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume104/number11/18250-9338/ },
doi = { 10.5120/18250-9338 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:35:56.164106+05:30
%A Manas Kumar Choudhury
%A Y.srinivas
%T A Model based Approach for Multimodal Biometric Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 104
%N 11
%P 35-38
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a novel method for recognisation of user identity based on multiple traits. In this approach the concepts of fusion together with Generalized Gamma Distribution (GGD) are utilized. The performance of the model is evaluated using synthetic data and evaluation is carried out by considering metrics like False Acceptance Rate (FAR), and False Rejection Rate (FRR).

References
  1. Piotr Dalka, Andrzej Czyzewski, "Human-Computer Interface Based on Visual Lip Movement and Gesture Recognition", International Journal of Computer Science and Applications, 2010, Vol. 7(3), pp. 124 - 139, 2010.
  2. Rabia Jafri and Hamid R. Arabnia, "A Survey of Face Recognition Techniques", Journal of Information Processing Systems, 2009, Vol. 5, No. 2, pp. 41-68.
  3. M. S. Islam, R. Davies, M. Bennamoun, R. A. Owens and A. S. Mian, "Multibiometric human recognition using 3D ear and face features", Pattern Recognition, 2013, Vol. 46, No. 3, pp. 613-627.
  4. Teddy Ko , "Multimodal Biometric Identification for Large User Population Using Fingerprint, Face and Iris Recognition", Proceedings of the 34th Applied Imagery and Pattern Recognition Workshop (AIPR05) ,2005.
  5. Ben-Yacoub, Y. Abdeljaoued, and E. Mayoraz, "Fusion of face and speech data for person identity verification," IEEE Trans. Neural Networks, vol. 10, pp. 1065-1074, 1999.
  6. Zahid Akhtar, Sandeep Kale, Nasir Alfarid, "Spoof Attacks on Multimodal Biometric Systems" International Conference on Information and Network Technology, IPCSIT vol. 4 (2011).
  7. David Zhang, Akbar Ghobakhlou and Nikola Kasabov. " An Adaptive Model of Person Identification Combining Speech and Image Information" 2004 8th International Conference on Control, Automation, Robotics and Vision Kunming, China, 6-9th December 2004
  8. S. Liao, Z. Lei, X. Zhu, Z. Sun, S. Z. Li, and T. Tan. "Face recognition using ordinal features". In Proceedings of IAPR International Conference on Biometric, pages 40–46, Hong Kong, Jan 2006.
  9. Lia Ma, Yunhong Wang, Tieniu Tan, "Iris Recognition Based on Multichannel Gabor Filtering", ACCV2002: The 5th Asian Conference on Computer Vision, 23-25 January 2002, Melbounce, Australia.
  10. Muhammad Khurram Khan, Jiashu Zhang and Shi-Jinn Horng, "An Effective Iris Recognition System for Identification of Humans", IEEE 2004.
  11. A. K. Jain, L. Hong, R. Bolle, "On-line Fingerprint verification" , IEEE Trans. Pattern Anal. Mach. Intel. 1997.
  12. Michael Goh Kah Ong,Tee Connie, Andrew Teoh Beng Jin, David Ngo Chek Ling, "A single-sensor hand geometry and palm print verification system", Proceedings of the 2003 ACM SIGMM workshop
  13. Bill Swartz, Neeraj Magotra, "Feature Extraction for Automatic Speech Recognition ", 1997 IEEE Transaction.
  14. John Daugman, "How Iris Recognition Works", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 14, NO. 1, JANUARY 2004
  15. Arun Rose, Anil Jain and Sharat Pankanti, "A Hand Geometry Based Verification System".
  16. Boreki, Guilherm, Zimmer, Alessandro, "Hand Geometry Feature Extraction through Curvature Profile Analysis", UNICENP, Computer Engineering Department, 2004
  17. John Daugman, "Biometric Decision Landscapes", University of Cambridge the Computer Laboratory, England.
Index Terms

Computer Science
Information Sciences

Keywords

Multimodal biometric Fusion Generalized Gamma Distribution (GGD) FAR FRR

Powered by PhDFocusTM