Abstract

References

[1] Azeem A., Sharif M., Raza M., and Murtaza M., A Survey: Face Recognition Techniques under Partial Occlusion , the International Arab Journal of Information Technology , vol. 11, no. 1, pp. 1- 10, 2014.

[ 2] Birgale L. and Kokare M., Iris Recognition Using Ridgelets , Journal of Information (10) Iris Recognition Using Localized Zernike s Feature and SVM 557 Processing Systems, vol. 8, no. 3, pp. 15- 17, 2012.

[ 3] Boles W. and Boashah B., A Human Identification Technique Using Images of the Iris and Wave let Transform , IEEE Transaction on Signal Processing, vol. 46, no. 4, pp. 1185 -1188, 1998.

[ 4] Chen Y., Adjouadi M., Han C., Wang J., Barreto A., Rishe N., and Andrian J., A Highly Accurate and Computationally efficient Approach for Unconstrained Iris Segmen tation, Image and Vision Computing, vol. 28, no. 2, pp. 261-269, 2010.

[5] Daugman J., High Confidence Visual Recognition of Persons by a Test of Statistical Independence , IEEE Trans. on Patt. Anal. and Mach ine Intelligence , vol. 15, no. 11, pp. 1148- 1161, 1993.

[6] Daugman J., How Iris Recognition Works , available at: https://www.cl.cam.ac.uk/ ~jgd1000/irisrecog.pdf , last visited 2004.

[ 7] DonidaLabati R. and Scotti F., Noisy Iris Segmentation with Boundary Regularizati on and Reflections Removal , Image Vision Comput ing, vol. 28, no. 2, pp . 270-277, 2010.

[ 8] Gibbons M., Cha S., Tappert C., and Yoon S., Biometric Identification Infer -ability , available at: csis.pace.edu/~ctappert/it691 - 09spring/projects/gibbons.doc , last visited 2010.

[ 9] Habib M., Hadira I., and Chahira S., Zernike Moments and SVM for Shape Classification in Very High Resolution Satellite Images , The International Arab Journal of Information Technology , vol. 11, no. 1, pp. 43- 51, 2014.

[ 10] IIT Delhi iris Database, available at: http://www.comp.polyu.edu.hk/~csajaykr/IITD/D atabase_Iris.htm, last visited 2013.

[ 11] Khotanzad A. and Huahong Y., Invariant Image Recognition by Zernike Moments , IEEE Transaction on pattern analysis and machine intelligence, vol. 12, no. 5, pp. 489 -497, 1990.

[ 12] Lajevardi S. and Hussain Z., Zernike Moments for Facial Expression Recognition, Digital Signal Processing archive , vol. 20, no. 6, pp. 1771- 1779, 2010.

[ 13] Masek L., Recognition of Human Iris Patterns for Biometric Identification , available at: http://citeseerx.ist.psu.edu/viewdoc/download?do i=10.1.1.90.5112&rep=rep1&type=pdf , last visited 2003.

[ 14] Nar ote S., Waghmare L., and Gaikwa d A., An Automated Segmentation Method for Iris Recognition, in Proceedings of IEEE Region 10 Conference , Hong Kong , pp. 1-4, 2006.

[15] Nguyen V. and Hakil K., A Novel Circle Detection Method for Iris Segmentation, in Proceedings of Congress on Image and Signal Processing , Sanya, China, pp. 620-624, 2008.

[16] Papakostas G., Boutalis Y. , Papaodysseus C., and Fragoulis D., Numerical Error Analysis in Zernike Moments Computation, Image and Vision Computing, vol. 24, no. 9, pp, 960- 969, 2006.

[ 17] Singh C. , Mittal N., and Walia E., Face Recognition using Zernike and Complex Zernike Moment Features , Pattern Recognition and Image Analysis , v ol. 21, no. 1, pp. 71- 81, 2011.

[ 18] Tripoli N., The Zernike Polynomials , MA. Department of Ophthalmology, University of North Carolina at Chapel Hill , NC, U.S.A, 2003.

[19] Wildes R., Asmuth J., Green G., Hsu S., K olczynski R., Matey J., and McBride S., A Machine- vision System for Iris Recognition , available at: http://link.springer.com/article/10.1007/BF01246 633, last visited 1996.

[ 20] Wildes R. , Ir is Recognition: An Emerging Biometric Technology, available at: http://www.cs.yorku.ca/~wildes/wildesPIEEE199 7.pdf , last visited 1997.

[ 21] Lin Z. and Lu Bibo., Iris Recognition Method Based on the Optimized Gabor Filters, available http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnu mber=5647105&url=http%3A%2F%2Fieeexplor e.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber %3D5647105, last visited 2010. Alireza Pirasteh received his BSc degree in Electronic Engineering from Islamic Azad University, Iran ; MSc degree in Mechatronic from Branch, Islamic Azad University, Semnan, Iran. He has 10 years experience in teaching undergraduate and associate courses and occupational education in technical and occupational institutions. His research interests in image processing, signal processing and robotics. K eivan Maghooli has been the Assistant Professor at Department of Biomedical Engineering, Science and Research Branch , Islamic Azad University, Iran. He is a PhD Scholar at mentioned Department. He holds MS(CS) degree in Biomedical Engineering from Tarbiat Modares University, Tehran, Iran. He has more than 10 years of experience including teaching graduate and undergraduate classes. He also leads and teaches modules at BSc, MSc and PhD levels in Biomedical Engineering. 558 The International Arab Journal of Information Technology, Vol. 13, No. 5, September 2016 Seyed Mousavizadeh holds Ms degre e in Biomedical Engineering and is PhD student at department of Biomedical Engineering, Science and research branch, Islamic Azad University, Iran. He has more than 9 years of experience in teaching graduate and undergraduate courses. He has been head of t he Electrical and Electronic Engineering Department in Semnan Azad University for five years. His research interests in biomedical engineering are medi cal image and signal processing , Bioinformatics and Biometrics like face, voice, iris and finger print recognition.