Performance Evaluation of Quadtree & Hough Transform Segmentation Techniques for Iris recognition using Artificial Neural Network (Ann)

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-25 Number-1
Year of Publication : 2015
Authors : Falohun A.S, Ismaila W.O, Adeosun O.O
  10.14445/22312803/IJCTT-V25P103

MLA

Falohun A.S, Ismaila W.O, Adeosun O.O "Performance Evaluation of Quadtree & Hough Transform Segmentation Techniques for Iris recognition using Artificial Neural Network (Ann)". International Journal of Computer Trends and Technology (IJCTT) V25(1):18-22, July 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
In this work, Quadtree and Hough transform segmentation techniques were evaluated in terms of recognition time, training time and segmentation time while artificial neural network (ANN) was used for training the iris images. The system was implemented using Matrix laboratory (MATLAB). On evaluating the performance of the two segmentation techniques, results showed that Quadtree segmentation technique proved faster during the three stages i.e Segmentation, Training and Recognition stages.

References
[1] Prabhakar, Sanderson S., Erbetta J (2000). Authentication for secure environments based on iris scanning technology. IEE Colloquium on Visual Biometrics.
[2] Falohun A.S., Omidiora E.O., Fakolujo A.O.,Afolabi O.A and Oke A.O. (2012).Development of a biometrically-controlled door system (using iris), with power backup. AJSIR.3(4):203-207.
[3] Daugman J. (2003). The importance of being random: Statistical principles of Iris Recognition. Pattern Recognition. 36(2): 279 – 291.
[4] Ritter N.(1999). Location of the pupil-iris border in slit-lamp images of the cornea. Proceedings of the International Conference on Image Analysis and Processing.
[5] Wildes R. (1997) “Iris Recognition An Emerging Biometric Technology”, proceeding of the IEEE, 85(a): 1348 – 1363.
[6] Falohun A.S., Omidiora E.O., Fakolujo A.O. and Ojo J.A. (2013).Development of an Iris-Based Access Control System Using a Two-Level Segmentation Approach. IJCTT.4(5):1318- 1326.
[7] Wolff, E., (1976), Anatomy of the Eye and Orbit., 7th edition. H. K. Lewis & Co. Ltd, New York. chemistry data: Accurate prediction of density functional theory energies". J. Chem. Phys. 131
[8] Roman M. Balabin, Ekaterina I. Lomakina (2009). "Neural network approach to quantum-(7): 074104. doi:10.1063/1.3206326. PMID 19708729.

Keywords
Neural network, Quadtree, Feature Extraction,