Performance Evaluation of Quadtree & Hough Transform Segmentation Techniques for Iris recognition using Artificial Neural Network (Ann)
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2015 by IJCTT Journal | ||
| Volume-25 Number-1 |
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| Year of Publication : 2015 | ||
| Authors : Falohun A.S, Ismaila W.O, Adeosun O.O | ||
| DOI : 10.14445/22312803/IJCTT-V25P103 |
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.
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Keywords
Neural network, Quadtree, Feature
Extraction,