… The consistent and efficient method for the identification of biometrics is the iris recognition
in … algorithm for the iris patterns classification. In this paper, segmentation of iris is performed …

… iris recognition algorithms and presents results of 9.1 million comparisons among eye images
from trials in Britain, the USA, Japan, and Korea. The key to iris recognition … two iris patterns…

… ” camera interface with iris recognition on the move, … iris recognition that aim to simultaneously
improve at both extremes. Sections II–IV present new methods of image processing for iris …

… Iris segmentation is a component of iris recognition system, … iris inner boundary accurately,
while it is reported that the iris … The basis functions we choose in the linear basis function …

… the 1D-ICA basis functions which can represent the iris signal. And we introduce a method
to refine the ICA basis functions for extracting distinctive iris features. The coefficients trans…

… This “doubly-dimensionless pseudo-polar coordinate system” was the basis of my original
paper on iris recognition [11] and Patent [1], and this iris coordinate system was incorporated …

… basis function is very important to wavelet transform. Here, we choose different wavelet basis
function to … From the table (2) we can see that selecting wavelet basis function have almost …

… human identification not only the iris pattern is well-known … we propose the extravagant
iris recognition methods that are … extraction and hybrid radial basis function neural network (…

… Many types of artificial neural networks exist including feedforward neural networks,
radial basis function (RBF) networks, Kohonen selforganizing networks, recurrent networks, …

… 92.5 Radial basis function kernel and polynomial kernel are two kernels of SVM which we
are implemented. The classification results given by using RBF kernel and polynomial kernel …