CFP last date
16 December 2024
Call for Paper
January Edition
IJAIS solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 16 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Ordered Frequent Itemsets Matrix Based On Fp-Tree Structure And Apriori Algorithm

Abdulkader M. Al-Badani Abdualmajed A. Al-Khulaidi
Random Articles
Reseach Article

Iris Feature Extraction for Personal Identification using Fast Wavelet Transform (FWT)

by Abikoye Oluwakemi C., Sadiku, J. S., Adewole Kayode S., and Jimoh Rasheed G.
journal cover thumbnail

International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 9
Year of Publication: 2014
Authors: Abikoye Oluwakemi C., Sadiku, J. S., Adewole Kayode S., and Jimoh Rasheed G.
10.5120/ijais14-451114

Abikoye Oluwakemi C., Sadiku, J. S., Adewole Kayode S., and Jimoh Rasheed G. . Iris Feature Extraction for Personal Identification using Fast Wavelet Transform (FWT). International Journal of Applied Information Systems. 6, 9 ( March 2014), 1-6. DOI=10.5120/ijais14-451114

@article{ 10.5120/ijais14-451114,
author = { Abikoye Oluwakemi C., Sadiku, J. S., Adewole Kayode S., and Jimoh Rasheed G. },
title = { Iris Feature Extraction for Personal Identification using Fast Wavelet Transform (FWT) },
journal = { International Journal of Applied Information Systems },
issue_date = { March 2014 },
volume = { 6 },
number = { 9 },
month = { March },
year = { 2014 },
issn = { 2249-0868 },
pages = { 1-6 },
numpages = {9},
url = { https://www.ijais.org/archives/volume6/number9/602-1114/ },
doi = { 10.5120/ijais14-451114 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T18:53:09.592796+05:30
%A Abikoye Oluwakemi C.
%A Sadiku
%A J. S.
%A Adewole Kayode S.
%A and Jimoh Rasheed G.
%T Iris Feature Extraction for Personal Identification using Fast Wavelet Transform (FWT)
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 6
%N 9
%P 1-6
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Iris is the annular region of the eye bounded by the pupil and the sclera(white of the eye) on either side. The iris has many interlacing features such as stripes, freckles, coronas, radial furrow, crypts, zigzag collarette, rings etc collectively referred to as texture of the iris. This texture is well known to provide a signature that is unique to each subject. All these features are extracted using different algorithms i. e features extraction is the process of extracting information from the iris image. Iris feature extraction is the crucial stage of the whole iris recognition process for personal identification. This is a key process where the two dimensional image is converted to a set of mathematical parameters. The significant features of the iris must be encoded so that comparisons between templates can be made. In this study the feature of the iris is extracted using Fast Wavelet Transform (FWT). The algorithm is fast and has a low complexity rate. The system encodes the features to generate its iris feature codes.

References
  1. Belganoui Y. , Guézel J. C. and Mahé T. , "La biométrie, sésame absolu", Industries et Techniques, France, n°817, July 2000.
  2. Gifford, M. M. , McCartney, D. J. and Seal, C. H. "Networked biometrics systems: requirements based on iris recognition," BT Technol. Journal, vol. 17, no 2, Apr 1999.
  3. Ross, A. and Jain, A. K. "Human Recognition Using Biometrics: An overview", Annals of Telecommunications, vol. 62, No. 1/2, pp. 11-35, Jan/Feb 2007.
  4. Institute of Automation, Chinese Academy of Sciences, CASIA Iris Image Database, Retrieved 20th June, 2013 from http://www. sinobiometrics. com/.
  5. Jain, A. , Bolle, R. and Pankanti, S. eds, "Biometrics: Personal Identification in a Networked Society," Kluwer, pp 276-284, 1999.
  6. Daugman, J "Biometric Personal Identification system based on iris analysis," U S Patent No 5291,560 1994.
  7. Ma. L, Yunhong Wang, T. and Zhang, D. "Personal identification based on iris texture analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 12, 2003.
  8. Daugman John. Recognizing persons by their iris patterns. Cambridge University, Cambridge, UK pp 103-123.
  9. Iris Recognition and Identification, Retrieved 27th July, 2013 from http://www. iris-recognition. org/, 2002.
  10. Daugman, J. "High Confidence Visual Recognition of Persons by a Test of Statistical Independence," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 11, pp. 1148- 1161, Nov. 1993.
  11. Daugman, J. "Demodulation by Complex-Valued Wavelets for Stochastic Pattern Recognition," Int'l J. Wavelets, Multiresolution and Information Processing, vol. 1, no. 1, pp. 1-17, 2003.
  12. Boles, W and Boashash, B. "A Human Identification Technique Using Images of the Iris and Wavelet Transform," IEEE Trans. Signal Processing, vol. 46, no. 4, pp. 1185-1188, 1998.
  13. Wildes, R. , Asmuth, J. , Green, G. , Hsu, S. , Kolczynski, R. , Matey, J. and McBride, S. "A Machine-Vision System for Iris Recognition," Machine Vision and Applications, vol. 9, pp. 1-8, 1996.
  14. Lim, S. , Lee, K. , Byeon, O. and Kim, T. "Efficient Iris Recognition through Improvement of Feature Vector and Classifier," ETRI J. , vol. 23, no. 2, pp. 61-70, 2001.
  15. Ma, L. , Wang, Y. and Tan, T. "Iris Recognition Based on Multichannel Gabor Filtering," Proc. Fifth Asian Conf. Computer Vision, vol. 1, pp. 279- 283, 2002.
  16. Tisse, C. , Martin, L. , Torres, L. and Robert, M "Person Identification Technique Using Human Iris Recognition" Proc. Vision Interface, pp. 294- 299, 2002
  17. Sanchez-Reillo, R. and Sanchez – Avila, C. "Iris Recognition with Low Template Size" In Proc. Int. Conf. Audio and Video-Based Biometrics Person Authentication, pp. 324-329, 2001.
  18. Noh, S. I. , Pae, K. , Lee, C. and Kim, J. "Multiresolution independent component analysis for iris identification," Proc. International Conf. on circuits/Systems Computers and Communication, 2002.
  19. Zhu, Y. , Tan, T. and Wang, Y. "Biometric personal identification based on iris pattern," ICPR2000: the 15th International Conference on Pattern Recognition, pp. 805-808, 2002.
  20. Du,Y. , Ives, R. , Chang, C-I. , Etter, D. and Welch, T. "Information divergence-based iris pattern recohnition for automatic human identification," Proc. SPIE 5404, 2004.
  21. Ramy Zewail, Ahmed Seil, Nadder Hamdy, Magdy Saeb,"Iris Identification Based on Log- Gabor Filtering", Proceedings of the IEEE Midwest Symposium on Circuits,Systems, and Computers, 2003.
  22. Xiaoyan Yuan and Pengfei Shi, "Iris Feature Extraction Using 2D Phase Congruency," Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05). 2005.
  23. Wen-Shiung , C. , Kun-Huei, C. , Sheng-Wen, S. and Chih-Ming Hsieh, H. " Personal Identification Technique based on Human Iris Recognition with Wavelet Transform," ICASSP, pp. 949-952, 2005.
  24. Sulochana, Helen. C. and Selvan, S. "Iris Feature Extraction Based on Directional Image Representation," GVIP Journal, vol 6, no. 4, pp. 55-62, 2006.
  25. Birgale, L. V. and Kokare, M. "Iris Recognition Using Discrete Wavelet Transform," IEEE Computer Society International Conference on Digital Image Processing, pp. 147-151, 2009.
  26. Harjoko, A. , Hartati, S. and Dwiyasa, H. "A Method for Iris Recognition Based on 1D Coiflet Wavelet," World Academy of Science, Engineering and Technology 56, pp. 126-129, 2009.
  27. Patil, C. M. and Patilkulkarni Sudarshan . "Iris recognition for personal identification using wavelet Approximations," Proc. Second International Conf. on Advances in computer Vision and Information Technology. , Accepted
  28. Patil, C. M. and Patilkulkarni Sudarshan ,"Iris Feature Extraction for Personal Identification using Lifting Wavelet Transform," International Journal of Computer Applications,vol. 1,no. 14,pp. 68-72, 2010.
  29. Daugman, J. How iris recognition works. Proceedings of 2002 International Conference on Image Processing, vol. 1, 2002.
  30. Proenca H and Alexandre Luis A. , " Iris Recognition: An Analysis of the Aliasing Problem in the Iris Normalization Stage", IEEE Proceedings on the International Conference on Computational Intelligence and Security – CIS, vol. 2,pp 1771-1774, 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Iris identification Feature extraction Algorithm FWT.

Powered by PhDFocusTM