This paper describes the winning algorithm we submitted to the recent NICE. I iris
recognition contest. Efficient and robust segmentation of noisy iris images is one of the …

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 …

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 …

Iris segmentation plays an important role in an accurate iris recognition system. In less
constrained environments where iris images are captured at-a-distance and on-the-move …

The paper presents an innovative algorithm for the segmentation of the iris in noisy images,
with boundaries regularization and the removal of the possible existing reflections. In …

This paper presents a state-of-the-art iris segmentation framework specifically for non-ideal
irises. The framework adopts coarse-to-fine strategy to localize different boundaries. In the …

Iris segmentation is an essential module in iris recognition because it defines the effective
image region used for subsequent processing such as feature extraction. Traditional iris …

Biometric research has experienced significant advances in recent years given the need for
more stringent security requirements. More important is the need to overcome the rigid …

Many researchers have studied iris recognition techniques in unconstrained environments,
where the probability of acquiring non-ideal iris images is very high due to off-angles, noise …

Iris segmentation is a critical step in the entire iris recognition procedure. Most of the state‐of‐
the‐art iris segmentation algorithms are based on edge information. However, a large …