… speed and accuracy has led us to introduce a new paradigm for iris segmentation in this
paper by processing iris … Since iris recognition cameras usually capture iris videos internally, …

… To combat highlighted issues, research community resorted towards the use of iris biometric
technology. It uses a non-invasive method to acquire image data from humans and applies …

… for iris recognition and attempts to improve the accuracy using a more simplified framework
to more accurately … methods is still below the expectations or the potential from this biometric. …

… algorithms such as Daugman’s integro-differential operator [6] and Wilde’s circular Hough
transforms [7] were developed for controlled iris biometric setup (eg, close acquisition distance…

… “FM net ” for iris recognition by using Fully Convolutional … resolutions, our proposed iris
recognition method overcomes the … It can observed that peak results do not occur toward the …

… Iris segmentation plays a critical role in the iris biometric … iris segmentation algorithm, this
study utilized the accuracy rate … n 1 represents the number of irises being localized correctly by …

… initial step towards a large-scale study about iris recognition. … biometric recognition systems,
the iris recognition system (IRS) is the system with higher efficiency and is the more reliable …

… and convenient biometric for person identification and has … accurate less-constrained iris
recognition. The effectiveness of this framework is evaluated on three publicly available iris …

… iris constitutes one of the most powerful biometric characteristics utilized by iris recognition
algorithms to extract discriminative biometric … ; the kernel size increases towards the center of …

… iris biometrics: segmentation and recognition. Second, we focus on deep learning techniques
for the robustness of iris recognition … The paper is oriented toward postmortem iris analysis, …