Iris recognition is one of the most promising fields in biometrics. Notwithstanding this, there
are not so many research works addressing it by machine learning techniques. In this …

Iris recognition is the most reliable and accurate method for eye identification. A novel
strategy for localizing iris printing is proposed in this paper. The median filter and histogram …

This research employs pattern recognition neural networks for Iris recognition systems. The
neural networks have a sevenlayers architecture consisting of one input layer, five hidden …

A novel approach for iris recognition using both eyes is implemented and tested. The right
and left eyes of three individuals from the CASIA Iris database V3 are used. The iris is …

This paper introduces an iris classification system using FFNNGSA and FFNNPSO. This iris
identification system consists of localization of the iris region, normalization, feature …

In order to fight identity fraud, the use of a reliable personal identifier has become a
necessity. Using Personal Identification Number (PIN) or a password is no longer secure …

Handwritten Signature Identification systems. Various successful domain specific
applications using ANN (artificial neural networks) can be found, but not flexible enough for …

This research focuses on iris recognition, the most accurate form of biometric identification.
The robustness of iris recognition comes from the unique characteristics of the human, and …

The Iris based identification systems have been noticed exceedingly, presently. In this
process, the iris should be segmented from captured eye image. The low contrast between …

Iris segmentation is the principal task of Iris based biometric identification systems. Always
the low contrast between pupil and iris always affects on accuracy of detecting boundary …