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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
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  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.
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  5. H B Kekre, V A Bharadi, “Multimodal Biometrics” , International Conference & Workshop on Emerging Trends in Technology 2010 (ICWET 2010), 26-27 Feb 2010
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  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
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  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