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

Hybrid Multimodal Biometric Recognition Using Kekre�s Wavelets, 1D Transforms & Kekre�s Vector Quantization Algorithms Based Feature Extraction of Face & Iris

Published on None 2011 by H B Kekre, V A Bharadi, V I Singh, V Kaul, B Nemade
journal_cover_thumbnail

International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET - Number 3
None 2011
Authors: H B Kekre, V A Bharadi, V I Singh, V Kaul, B Nemade
f38576ac-f1f7-4470-864f-273f8f26c13a

H B Kekre, V A Bharadi, V I Singh, V Kaul, B Nemade . Hybrid Multimodal Biometric Recognition Using Kekre�s Wavelets, 1D Transforms & Kekre�s Vector Quantization Algorithms Based Feature Extraction of Face & Iris. International Conference and Workshop on Emerging Trends in Technology. ICWET, 3 (None 2011), 29-34.

@article{
author = { H B Kekre, V A Bharadi, V I Singh, V Kaul, B Nemade },
title = { Hybrid Multimodal Biometric Recognition Using Kekre�s Wavelets, 1D Transforms & Kekre�s Vector Quantization Algorithms Based Feature Extraction of Face & Iris },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { None 2011 },
volume = { ICWET },
number = { 3 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 29-34 },
numpages = 6,
url = { /proceedings/icwet/number3/2076-aca525/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A H B Kekre
%A V A Bharadi
%A V I Singh
%A V Kaul
%A B Nemade
%T Hybrid Multimodal Biometric Recognition Using Kekre�s Wavelets, 1D Transforms & Kekre�s Vector Quantization Algorithms Based Feature Extraction of Face & Iris
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET
%N 3
%P 29-34
%D 2011
%I International Journal of Computer Applications
Abstract

Face Recognition Systems are becoming ubiquitous and inevitable in today’s world. Being less intrusive and universal face recognition systems serve as good option for access control and surveillance. Iris recognition enjoys universality, high degree of uniqueness and moderate user co-operation. This makes Iris recognition systems unavoidable in emerging security & authentication mechanisms.

References
  1. A. K Jain, P. Flynn, A. Ross, “Handbook of Biometrics”, Springer, 2008.
  2. C. Tisse, L. Martin, L. Torres, and M. Robert, “Person Identification Technique using Human Iris Recognition”, in Proc. Vision Interface, pp. 294-299, 2002.
  3. W. Boles and B. Boashash, “A Human Identification Technique Using Images of the Iris and Wavelet Transform”, IEEE Trans. Signal Processing, vol 46, no.4, pp. 1185-1188, 1998.
  4. A. Ross and A.K. Jain, “Information Fusion in Biometrics”, Pattern Recognition Letter 24, pp.2115- 2125, 2003.
  5. H B Kekre, V A Bharadi, “Multimodal Biometrics” , International Conference & Workshop on Emerging Trends in Technology 2010 (ICWET 2010), 26-27 Feb 2010
  6. H B Kekre, V A Bharadi, “Adaptive Feature Set Updating Algorithm for Multimodal Biometrics”, ACM International Conference (ICAC3’09), ACM Conference, Jan 2009
  7. H B Kekre, V A Bharadi, “Ageing Adaptation for Multimodal Biometrics using Adaptive Feature Set Update Algorithm”, IEEE International Conference (IACC 2009), Thapar University, Patiala- Punjab, India. March 2009,
  8. H. B. Kekre, A. Athawale, D. Sadavarti, "Algorithm To Generate Kekre’s Wavelet Transform from Kekre’s Transform", IJSET, June 2010 (In Press)
  9. H. B. Kekre, S. D. Thepade, “Image Retrieval using Non-Involutional Orthogonal Kekre’s Transform”, International Journal of Multi-disciplinary Research And Advances in Engineering, IJMRAE, Vol.1, No.I, November 2009,pp189-203.
  10. H B Kekre, V A Bharadi, “Face Recognition using Kekre’s Wavelets Energy & Performance Analysis of Feature Vector Variants” , ACM International Conference & Workshop on Emerging Trends in Technology 2011, ICWET 2011, TCET, Mumbai, India
  11. J. Daugman, “How iris recognition works”, IEEE Trans, Circuits and Systems for Video Technology, vol 14, Issue 1, pp. 21-30, Jan.2004.
  12. R. Wildes, “Iris Recognition: An Emerging Biometric Technology”, in Proc. IEEE, vol 85, no.9, pp. 1348-1363, 1997.
  13. H B Kekre, V A Bharadi, “Iris Recognition Using DCT & Vector Quantization”, The 2010 IEEE International Conference on Signal Acquisition and Processing (ICSAP 2010), 9-10 February, 2010, Bangalore, India
  14. H B Kekre, V A Bharadi, “Iris Recognition Using Discrete Cosine Transform and Kekre’s Fast Codebook Generation Algorithm”, International Conference & Workshop on Emerging Trends in Technology 2010 (ICWET 2010), Mumbai, India, 26-27 Feb 2010
  15. H B Kekre, V A Bharadi, “Performance Comparison of Full 2-D DCT, 2-D Walsh and 1-D Transform over Row Mean and Column Mean for Iris Recognition”, International Conference & Workshop on Emerging Trends in Technology 2010 (ICWET 2010), India, 26-27 Feb 2010
  16. H B Kekre, V A Bharadi, T K Sarode, “Performance Comparison of DCT and VQ based Techniques for Iris Recognition, Journal of Electronic Science and Technology (JEST) (International), vol. 8, no. 3, Sept. 2010
  17. Summary of NIST Standards for Biometric Accuracy, Tamper Resistance and Interoperability,”Nov.13,2002
  18. 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.
  19. http://phoenix.inf.upol.cz/iris/download/, (refferred on 10-09-2009, 10:00 a.m.).
  20. J. Daugman, “High Confidence Visual Recognition of Persons by a Test of Statistical Independence”, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, pp. 11481161, 1993.
  21. Kekre H., Sarode T., “An Efficient Fast Algorithm to Generate Codebook for Vector Quantization,” IEEE CNF , ICETET-2008, Nagpur, India, pp.: 62- 67, 16-18 July 2008.
  22. Computer Vision Research Projects Face Database : Faces94 – available at http://cswww.essex.ac.uk/mv/allfaces/faces94.html
Index Terms

Computer Science
Information Sciences

Keywords

Pattern Recognition Security Algorithms Biometrics