Iris recognition imaging constraints are receiving increasing attention. There are several
proposals to develop systems that operate in the visible wavelength and in less constrained …

Abstract The Circle Hough Transform (CHT) is one of the popular circle detection algorithm
in image processing and machine vision application, favored for its tolerance to noise …

Recently, iris recognition systems have gained increased attention especially in non-
cooperative environments. One of the crucial steps in the iris recognition system is the iris …

De-duplication of biometrics is not scalable when the number of people to be enrolled into
the biometric system runs into billions, while creating a unique identity for every person. In …

The localization of eye centers and tracking of gaze constitutes an integral component of
many human–computer interaction applications. A number of constraints including …

Face images to be included into machine readable travel documents have to fulfill quality
requirements defined by international ISO standards. The concept of quality in this context …

This paper presents an efficient randomized Hough transform algorithm for circle detection. It
optimizes the methods for determining sample points and finding candidate circles. Due to …

Data quality assessment is a key issue, in order to broaden the applicability of iris biometrics
to unconstrained imaging conditions. Previous research efforts sought to use visible …

In this paper, a tunable filter bank is proposed to extract region based features from non-
cooperative iris images. The proposed method is based on half band polynomial of 14th …

Ocular recognition on smartphone authentication applications are gaining popularity in
academic research and in the commercial sector where operators are requesting reliable …