Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

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 …

This paper presents a novel iris recognition system based on machine learning methods.
The motivation behind this research resides in the interrelatedness of biometric systems and …

The consistent and efficient method for the identification of biometrics is the iris recognition
in view of the fact that it has richness in texture information. A good number of features …

A novel cancelable iris recognition system is proposed in this paper. Based on the
performance of various feature learning techniques such as (i) Bag-of-Words,(ii) Sparse …

A new set of features for personal verification and identification based on iris image is
proposed in this paper. The method consists of three major components: image pre …

Biometrics deals with the recognition of humans based on their unique physical
characteristics. It can be based on face identification, iris, fingerprint and DNA. In this paper …

In recent years, Finger Textures (FTs) have attracted considerable attention as potential
biometric characteristics. They can provide robust recognition performance as they have …

This article presents an image-processing model for detection of rust zones using digital
images of metals. The input image, containing a wide range of possible rusted textures, is …

The aim of this paper is to present a new method to produce a Receiver Operating
Characteristic (ROC) curve from a Probabilistic Neural Network (PNN). Traditionally, an …