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DOI: 10.14569/IJACSA.2011.020619
PDF

Iris Recognition Using Modified Fuzzy Hypersphere Neural Network with different Distance Measures

Author 1: S Chowhan
Author 2: U. V. Kulkarni
Author 3: G. N. Shinde

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 2 Issue 6, 2011.

  • Abstract and Keywords
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Abstract: In this paper we describe Iris recognition using Modified Fuzzy Hypersphere Neural Network (MFHSNN) with its learning algorithm, which is an extension of Fuzzy Hypersphere Neural Network (FHSNN) proposed by Kulkarni et al. We have evaluated performance of MFHSNN classifier using different distance measures. It is observed that Bhattacharyya distance is superior in terms of training and recall time as compared to Euclidean and Manhattan distance measures. The feasibility of the MFHSNN has been successfully appraised on CASIA database with 756 images and found superior in terms of generalization and training time with equivalent recall time.

Keywords: Bhattacharyya distance; Iris Segmentation; Fuzzy Hypersphere Neural Network.

S Chowhan, U. V. Kulkarni and G. N. Shinde, “Iris Recognition Using Modified Fuzzy Hypersphere Neural Network with different Distance Measures” International Journal of Advanced Computer Science and Applications(IJACSA), 2(6), 2011. http://dx.doi.org/10.14569/IJACSA.2011.020619

@article{Chowhan2011,
title = {Iris Recognition Using Modified Fuzzy Hypersphere Neural Network with different Distance Measures},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2011.020619},
url = {http://dx.doi.org/10.14569/IJACSA.2011.020619},
year = {2011},
publisher = {The Science and Information Organization},
volume = {2},
number = {6},
author = {S Chowhan and U. V. Kulkarni and G. N. Shinde}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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