CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Article:Iris recognition using Partial Coefficients by applying Discrete Cosine Transform, Haar Wavelet and DCT Wavelet Transform

by Dr. H. B. Kekre, Dr. Tanuja K., Pratik Bhatia, Sandhya N. Nayak, Dheeraj Nagpal
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 6
Year of Publication: 2011
Authors: Dr. H. B. Kekre, Dr. Tanuja K., Pratik Bhatia, Sandhya N. Nayak, Dheeraj Nagpal
10.5120/3910-5495

Dr. H. B. Kekre, Dr. Tanuja K., Pratik Bhatia, Sandhya N. Nayak, Dheeraj Nagpal . Article:Iris recognition using Partial Coefficients by applying Discrete Cosine Transform, Haar Wavelet and DCT Wavelet Transform. International Journal of Computer Applications. 32, 6 ( October 2011), 39-43. DOI=10.5120/3910-5495

@article{ 10.5120/3910-5495,
author = { Dr. H. B. Kekre, Dr. Tanuja K., Pratik Bhatia, Sandhya N. Nayak, Dheeraj Nagpal },
title = { Article:Iris recognition using Partial Coefficients by applying Discrete Cosine Transform, Haar Wavelet and DCT Wavelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 6 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 39-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume32/number6/3911-5495/ },
doi = { 10.5120/3910-5495 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:18:30.826847+05:30
%A Dr. H. B. Kekre
%A Dr. Tanuja K.
%A Pratik Bhatia
%A Sandhya N. Nayak
%A Dheeraj Nagpal
%T Article:Iris recognition using Partial Coefficients by applying Discrete Cosine Transform, Haar Wavelet and DCT Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 6
%P 39-43
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Iris recognition systems are unavoidable in emerging security and authentication mechanisms. In this paper, we make a comparative study of performance of image transforms Discrete Cosine Transform (DCT), Haar wavelet and DCT wavelet, when they are used for iris verification. Initially, the entire 256x256 feature co-efficient matrix, obtained after applying DCT, Haar wavelet or DCT wavelet transform to the image, is considered. The coefficients from bottom right of the image matrix, transformed using DCT, Haar wavelet or DCT wavelet, which contain minor information, are discarded gradually and the performance is recorded for all iterations.

References
  1. Anil K Jain, P. Flynn, and A. Ross, “Handbook of Biometrics”, New York: Springer, 2008.
  2. C. Tisse, L. Martin, L. Torres, and M. Robert, “Person Identification Technique using Human Iris Recognition”, Proceedings of Vision Interface, pp. 294-299, 2002.
  3. Donald M. Munro, SoumyaDip Rakshit, Dexin Zhang, “DCT-Based Iris Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 4, pp.: 586-595, April 2007.
  4. H. B. Kekre, Tanuja K. Sarode, Vinayak Ashok Bharadi, Abhishek A. Agrawal, Rohan J. Arora, and Mahesh C. Nair, “Iris Recognition Using Discrete Cosine Transform and Kekre’s Fast Codebook Generation Algorithm”, Journal of Electronic Science and Technology, Vol. 8, No. 3, pp. 223-229, September 2010.
  5. H. B. Kekre, Tanuja K. Sarode, Shachi Natu & Prachi Natu “Performance Comparison Of 2-D DCT On Full/Block Spectrogram And 1-D DCT On Row Mean Of Spectrogram For Speaker identification”, International Journal of Biometrics and Bioinformatics, Vol. 4, Issue 3, pp. 100-112.
  6. Ahmad M. Sarhan, “Iris Recognition Using Discrete Cosine Transform and Artificial Neural Networks”, Journal of Computer Science Vol. 5, No.5, pp.: 369-373, 2009.
  7. Anil K. Jain, “Fundamentals of Digital Processing”, 5th Edition, Page 159.
  8. Database:Iris database is available on http://phoenix.inf.upol.cz/iris/download/
  9. H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade, Sonal Shroff, “Instigation of Orthogonal Wavelet Transforms using Walsh, Cosine, Hartley, Kekre Transforms and their use in Image Compression”, International Journal Computer Science and Information Security, Vol. 9, Issue 6, pp. 125-133, 2011.
  10. 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.
  11. J. Daugman, “How iris recognition works,” IEEE Trans. Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 21-30, 2004.
  12. R. Wildes, “Iris recognition: an emerging biometric technology,” Proc. of IEEE, vol. 85, no. 9, pp. 1348-1363, 1997.
  13. L. Ma, T. Tan, Y. Wang, and D. Zhang, “Efficient iris recognition by characterizing key local variations,” IEEE Trans. Image Process., vol. 13, no. 6, pp. 739-750, 2004.
  14. J. Cui, Y. Wang, T. Tan, L. Ma, and Z. Sun, “A fast and robust iris localization method based on texture segmentation,” in Proc. of SPIE Defense and Security Symposium, Orlando, FL, Florida, 2004, pp. 401-408.
  15. H. B. Kekre, Sudeep D Thepade, Juhi Jain and Naman Agrawal. Performance Comparison of IRIS Recognition Techniques using Wavelet Pyramids of Walsh, Haar and Kekre Wavelet Transforms. IJCA Proceedings on International Conference and workshop on Emerging Trends in Technology (ICWET) (2):20-26, 2011. Published by Foundation of Computer Science.
  16. Tze Weng Ng; Thien Lang Tay; Siak Wang Khor; , "Iris recognition using rapid Haar wavelet decomposition," Signal Processing Systems (ICSPS), 2010 2nd International Conference on , vol.1, no., pp.V1-820-V1-823, 5-7 July 2010.
  17. Abdel Alim, O., Sharkas, M., "Texture classification of the human iris using artificial neural networks," Electrotechnical Conference, 2002. MELECON 2002. 11th Mediterranean, vol., no., pp. 580- 583, 2002.
  18. Kumar, A., Passi, A., "Comparison and combination of iris matchers for reliable personal identification," Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on, vol., no., pp.1-7, 23-28 June 2008.
  19. H. B. Kekre, Tanuja K. Sarode, Vinayak Ashok Bharadi, Abhishek A. Agrawal, Rohan J. Arora, and Mahesh C. Nair, “Iris Recognition Using Vector Quantization”, International Conference on Signal Acquisition and Processing (ICSAP 2010), Organized by International Association of Computer Science & Information Technology (IACSIT) Singapore, held at Bangalore, 9-10th February 2010. Available online on IEEE Xplore.
Index Terms

Computer Science
Information Sciences

Keywords

Iris recognition biometrics DCT Haar Transform DCT wavelet Partial Coefficients

Powered by PhDFocusTM