The paper presents performance comparison of Transform Wavelet Pyramid based Iris Recognition techniques using Walsh, Haar and Kekre wavelet transforms. Here Iris Recognition is done using the image feature set extracted from Transform Wavelet Pyramid obtained from Iris images at various levels of decomposition. Performance analysis is done by calculating False Acceptance Rate and Genuine Acceptance Rate. The proposed techniques are tested on an iris image database [16] having 384 images. The results show that Wavelets give better discrimination capability in Iris Recognition at faster query execution speed. The Walsh and Haar Transform Wavelet Pyramid level-5 outperforms other levels of Transform Wavelet Pyramid, because the higher level Wavelets are giving coarse color-texture features while the lower level are representing fine color-texture features which are less useful for discrimination of images in Iris Recognition.

1. by Dr. Libor Spacek. Available Online at: http://cswww.essex.ac.uk/mv/otherprojects.html. [last referred on 10 Nov 2010]
2. H.B.Kekre, Sudeep D. Thepade, “Image Retrieval using Color-Texture Features Extracted from Haarlet Pyramid”, ICGST International Journal on Graphics, Vision and Image Processing (GVIP), Volume 10, Issue I, Feb.2010, pp.9-18, Available online www.icgst.com/gvip/Volume10/Issue1/P1150938876.html
3. H.B.Kekre, Sudeep D. Thepade, “Creating the Color Panoramic View using Medley of Grayscale and Color Partial Images ”, WASET International Journal of Electrical, Computer and System Engineering (IJECSE), Volume 2, No. 3, Summer 2008. Available online at www.waset.org/ijecse/v2/v2-3-26.pdf.
4. Stian Edvardsen, “Classification of Images using color, CBIR Distance Measures and Genetic Programming”, Ph.D. Thesis, Master of science in Informatics, Norwegian university of science and Technology, Department of computer and Information science, June 2006.
5. H.B.Kekre, Sudeep D. Thepade, “Image Blending In Vista Creation using Kekre‟s LUV Color Space” , SPIT -IEEE Colloquium and International Conference, 04-05 Feb 2008, SPIT Andheri ,Mumbai.
6. Zhibin Pan, Kotani K., Ohmi T., “Enhanced fast encoding method for vector quantization by finding an optimally-ordered Walsh transform kernel”, ICIP 2005, IEEE International Conference, Volume 1, pp I - 573-6, Sept. 2005.
7. H.B.Kekre, Sudeep D. Thepade, “Improving ‘Color to Gray and Back’ using Kekre’s LUV Color Space”, IEEE International Advanced Computing Conference 2009 (IACC’09), Thapar University, Patiala, INDIA, 6-7 March 2009. Is uploaded and available online at IEEE Xplore.
8. H.B.Kekre, Sudeep D. Thepade, “Image Blending in Vista Creation using Kekre's LUV Color Space”, SPIT-IEEE Colloquium and International Conference, Sardar Patel Institute of Technology, Andheri, Mumbai, 04-05 Feb 2008.
9. H.B.Kekre, Sudeep D. Thepade, “Color Traits Transfer to Grayscale Images”, In Proc.of IEEE First International Conference on Emerging Trends in Engg. & Technology, (ICETET-08), G.H.Raisoni COE, Nagpur, INDIA. Uploaded on online IEEE Xplore.
10. H.B.Kekre, Sudeep D. Thepade, “Improving the Performance of Image Retrieval using Partial Coefficients of Transformed Image”, International Journal of Information Retrieval (IJIR), Serials Publications, Volume 2, Issue 1, 2009, pp. 72-79(ISSN: 0974-6285)
11. Zhibin Pan, Kotani K., Ohmi T., “Enhanced fast encoding method for vector quantization by finding an optimally-ordered Walsh transform kernel”, ICIP 2005, IEEE International Conference, Volume 1, pp I - 573-6, Sept. 2005.
12. H.B.Kekre, Sudeep D. Thepade,“Image Retrieval using Color-Texture Features Extracted from Walshlet Pyramid”, ICGST International Journal on Graphics, Vision and Image Processing (GVIP), Volume 10, Issue I, Feb.2010, pp.9-18, Available online www.icgst.com/gvip/Volume10/Issue1/P1150938876.html
13. H.B.Kekre, Tanuja K. Sarode, Sudeep D. Thepade, “Image Retrieval by Kekre Transform Applied on Each Row of Walsh Transformed VQ Codebook”, (Invited), ACM-Int. Conference and Workshop on Emerging Trends in Technology (ICWET 2010),Thakur College of Engg. & Tech., Mumbai, 26-27 Feb 2010, The paper is uploaded at ACM Portal.
14. "http://www.advancedsourcecode.com/irisdatabase.as" for Palacky University iris database. [last referred on 10 Nov 2010]
15. “http://www.cl.cam.ac.uk/~jgd1000/afghan.html” last referred on [10 Nov 2010].
16. “http://en.wikipedia.org/wiki/File:Humaniris.jpg” last referred on [10 Nov 2010].
17. H.B.kekre, Sudeep D. Thepade, Juhi Jain, Naman Agrawal, “IRIS Recognition using Texture Features Extracted from Haarlet Pyramid”, International Journal of Computer Applications (IJCA), Volume 11, Number 12, December 2010, pp 1-5, Available at www.ijcaonline.org/archives/volume11/number12/1638-2202.
18. H.B.kekre, Sudeep D. Thepade, Juhi Jain, Naman Agrawal, “IRIS Recognition using Texture Features Extracted from Walshlet Pyramid”, ACM International Conference and Workshop on Emerging Trends in Technology (ICWET 2011).
19. Haar, Alfred, "Zur Theorie der orthogonalen Funktionen systeme". (German), Mathemetische Annalen, volume 69, No. 3, 1910, pp. 331-3771.
20. Charles K. Chui, “An Introduction to Wavelets”, Academic Press, 1992, San Diego, ISBN 0585470901.
21. H.B.Kekre, Sudeep D. Thepade Akshay Maloo, “Query by Image Content using Color-Texture Features Extracted from Haarlet Pyramid”, International Journal Computer Applications (IJCA), Special issue on Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications, August 2010.

Iris Recognition Walsh Transform Haar Transform Kekre Wavelet Transform Texture Wavelet Pyramid