Iris image-based biometric systems are commonly used in applications that demand
security, authentication, recognition and faster login access. In solving these real-time …

Deep learning techniques such as convolutional neural network and capsule network have
attained good results in iris recognition. However, due to the influence of eyelashes, skin …

CNN-based iris segmentations have been proven to be superior to traditional iris
segmentation techniques in terms of segmentation error metrics. To properly utilize them in a …

Iris recognition is now developed enough to recognize a person from a distance. The
process of iris segmentation plays a vital role in maintaining the accuracy of the iris-based …

In the new millennium, with chaotic situation that exist in the world, people are threaten with
multifarious terrorist attacks. There have been several intelligent ways in order to recognize …

With the immersive development in the field of augmented and virtual reality, accurate and
speedy eye-tracking is required. Facebook Research has organized a challenge, named …

The extraction of consistent and identifiable features from an image of the human iris is
known as iris recognition. Identifying which pixels belong to the iris, known as segmentation …

This paper offers three new, open-source, deep learning-based iris segmentation methods,
and the methodology how to use irregular segmentation masks in a conventional Gabor …

Segmentation in iris biometrics deals with the localisation of inner and outer boundaries of
the iris and isolation of the region of interest (ROI) from the input eye image. The isolated …

Sclera segmentation is revealed to be of noteworthy importance for ocular biometrics. The
paramount step for biometric recognition methods is the segmentation of the area of interest …