… 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, …

… 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…

… Despite the popularity of iris recognition in biometrics, conventional iris feature descriptors
does have several limitations. The summaries of earlier work in [7] and [8] reveal that existing …

… -art iris segmentation framework specifically for non-ideal irises. … The segmentation accuracy
(SA) is evaluated using well … Toward accurate and fast iris segmentation for iris biometrics', …

… Robust and accurate iris segmentation is a key procedure to ensure high iris recognition
rate. In this paper, we have developed a much more accurate and efficient iris segmentation …

… With the increasing demands of biometrics available in the non-invasive and masked face
… identification using ocular biometrics, including iris recognition known for its high accuracy. …

… ABSTRACT Iris Recognition (IR) is one of the market’s most reliable and accurate biometric
systems. Today, it is challenging to build NearInfraRed (NIR) capturing devices under the …

… “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 …

… biometric recognition, iris segmentation can also play a significant role for medical concerns.
Accurate iris segmentation is … , we propose an accurate and robust iris segmentation model, …