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 …

With the capability of storing huge volumes of data over the Internet, cloud storage has
become a popular and desirable service for individuals and enterprises. The security issues …

In this paper, we propose a light version (LV) algorithm that can recognize iris images in
smartphones. The contribution is threefold. Firstly, we modified and re-designed the iris …

Iris recognition is one of the reliable biometric techniques used for human identification
purpose. It provides the unique information about a person with natural features such as …

A Recent studies have shown that the wearing of soft lens may lead to performance
degradation with the increase of false reject rate. However, detecting the presence of soft …

A safe and secure space is significant for everyone in their life. Biometric approaches are
adapted for the proof of identity of individuals are currently increasingly being used in …

In this paper, both the spatial domain features and the frequency domain features of iris
images are studied and used to design a hybrid feature extraction technique taking …

In world, insecurity increases day by day, so there is a need for authentication which is more
essential and challenging. Iris Recognition is one of the ways to secure authentication …

Abstract Named Entity Recognition (NER) is sub task of Information Extraction that includes
identification of named entities and classification of them into named entity classes such as …

The biometric is the study of physical traits or behavioral characteristics of human such as
finger prints, face, hand geometry, gait, key strokes, voice and iris. Among the biometrics, iris …