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

Biometrics, an integral component of Identity Science, is widely used in several large-scale-
county-wide projects to provide a meaningful way of recognizing individuals. Among existing …

Recently, iris recognition techniques have achieved great performance in identification.
Among authentication techniques, iris recognition systems have received attention very …

Iris Biometrics: From Segmentation to Template Security provides critical analysis,
challenges and solutions on recent iris biometric research topics, including image …

Presently, lots of previous studies on biometrics employ convolutional neural networks
(CNN) which requires a large amount of labeled training data. However, biometric data are …

Iris recognition is a very reliable biometric modality for human identification. The immutable
and unique characteristics of the iris are the foundations for that claim. Currently, research …

Design a fast and reliable iris segmentation algorithm for less constrained iris images is
essential to build a robust iris recognition system. Daugman's integrodifferential operator …

This paper announces and discusses the experimental results from the Noisy Iris Challenge
Evaluation (NICE), an iris biometric evaluation initiative that received worldwide participation …

Gait features have been widely applied in human identification. The commonly-used
representations for gait recognition can be roughly classified into two categories: model-free …

Iris recognition systems have been used in high-security-level applications because of their
high recognition rate and the distinctiveness of iris patterns. However, as reported by recent …