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A Study of Iris Segmentation Methods using Fuzzy C-Means and K-Means Clustering Algorithm
2014
International Journal of Computer Applications
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Among most of the biometric methods, Iris recognition is regarded as the most reliable and accurate biometric identification system. The performance of iris recognition system highly depends on the accurate segmentation. For the Iris Segmentation there is a lot of methods that have been proposed in several decades. This present research work explores the
doi:10.5120/14882-3316
fatcat:f7dkkfac6nbmrpd4xuefn5n5iq