This article presents a robust method for detecting iris features in frontal face images based
on circular Hough transform. The software of the application is based on detecting the circles …

This paper presents a robust technique for pupil center coordinates detection that uses the
circular Hough transform technique. The algorithm of the proposed application is based on …

The present paper presents the performance of an experimental cartographic study towards
the examination of the minimum duration threshold required for the detection by the central …

The proposed multi-modality human identification system, which fuses the IRIS and
Electroencephalogram (EEG). These approaches are the most popular human identification …

Identification of people using different biometric data is becoming more important in network
society. Biometrics include voice, ears, palms, fingerprints, faces, iris, retina, and hand …

Although iris is a unique biometric trait, it has been used mainly for person authentication
systems and not for identification. Due, to challenges in iris localization from eye images …

We present a fast method for locating iris features in frontal face images based on the Hough
transform. The aim of this work is to detect the circles surrounding the exterior iris pattern …

Interacting with real or virtual objects with help of a human eye is gaining popularity. The
paper presents a robust method to detect eyeball movement and how we can use it to move …

The research presented in this paper aims to minimize the complexity involved the in
detection & tracking of the iris. A robust and adaptive algorithm for accurate iris detection …

Now a days, problems becoming more and more complex and demand of better and fast
solution in lesser time we need a fast algorithm to processes the data intensive and do …