The primary goal of this research is to evaluate the accuracy of human iris recognition using
a Convolutional Neural Network in an uncontrolled environment image to that of a Hidden …

The main aim of this study is to compare the recognition of human iris using two different
machine learning algorithms in an uncontrolled environment image dataset. Images taken …

The main aim of this study is to compare the radical segmentation of human iris using two
different machine learning algorithms in an uncontrolled environment image dataset. Images …

Iris recognition is one of the Biometric systems used for persons identification based on their
special iris traits, which are unique featuresfor each individual. It is clear that the progress in …

Algorithms developed to identify people with iris image data have been tested in many field
and laboratory experiment. This paper analysis some a parameters of iris image used to …

The paper aimed at developing an enhanced Convolution Neural Network based system to
recognize iris features. The enhancement was done using Gravitational Search Algorithm …

Biometrics is essential for authenticating an individual. The existing methods of
authentication includes fingerprint scanning, speech recognition, face recognition and iris …

Iris image is the most important and unique feature in the field of biometrics and a powerful
tool for human identification because of its strong and unique textual information. Extracting …

Abstract Machine learning rises in varied areas of computer science. A deep conventional
neural network is powerful visual models of machine learning. We tend to present …

Iris recognition is a technology used in many security systems. Irises are different among all
people every person has a unique iris shape and there is no two irises have the same …