International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 25 | Number 1 | Year 2015 | Article Id. IJCTT-V25P103 | DOI : https://doi.org/10.14445/22312803/IJCTT-V25P103

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

Falohun A.S, Ismaila W.O, Adeosun O.O

Citation :

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), vol. 25, no. 1, pp. 18-22, 2015. Crossref, https://doi.org/10.14445/22312803/IJCTT-V25P103

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.

Keywords

Neural network, Quadtree, Feature Extraction.

References

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