Person identification based on iris recognition is getting more and more attention among the
modalities used for biometric recognition. This fact is due to the immutable and unique …

Human iris contains rich textural information which serves as the key information for
biometric identifications. It is very unique and one of the most accurate biometric modalities …

This paper builds upon the belief that every human being has a built-in image aesthetic
evaluation system. This sort of personal aesthetics mostly follows certain aesthetic rules …

This paper proposes a method for the extraction of biometric features from the spatial
patterns formed by eye movements during an inspection of dynamic visual stimulus. In the …

Iris Recognition (IR) under varying contrast and live-tissues is challenging. This paper
proposes two novel techniques viz., Radon Transform Thresholding (RTT) and Gradient …

In this paper an iris detection scheme for noisy images acquired by means of mobile devices
is presented. Iris segmentation is accomplished by exploiting the use of the watershed …

Iris segmentation is driven by three different quality factors: accuracy, usability and speed.
Unfortunately the deeply analysis of the literature shows that the greatest efforts of the …

Modelling behavioural biometric patterns is a key issue for modern user centric applications,
aimed at better monitoring users' activities, understanding their habits and detecting their …

Optical coherence tomography (OCT) is the most accurate modality for noninvasive
assessment of vitreoretinal interface (VRI). The scientific objective of research presented in …

传统的虹膜识别方法主要提取和匹配局部区域特征, 忽略了距离较远区域(即非局部区域)
特征之间的相关性. 基于序特征的方法通过高斯低通滤波器提取区域的平均灰度值并对不同区域 …