Ocular biometrics encompasses the imaging and use of characteristic features extracted
from the eyes for personal recognition. Ocular biometric modalities in visible light have …

In this chapter, we address the problem of biometric identity recognition from the vasculature
of the human sclera. Specifically, we focus on the challenging task of multi-view sclera …

Bias and fairness of biometric algorithms have been key topics of research in recent years,
mainly due to the societal, legal and ethical implications of potentially unfair decisions made …

This article reports and summarizes the results of a competition on sclera segmentation and
recognition benchmarking, called Sclera Segmentation and Recognition Benchmarking …

This paper summarises the results of the Sclera Segmentation and Eye Recognition
Benchmarking Competition (SSERBC 2017). It was organised in the context of the …

In this paper an efficient and adaptive biometric sclera recognition and verification system is
proposed. Sclera segmentation was performed by Fuzzy C-means clustering. Since the …

Sclera recognition is a promising ocular biometric modality because of contact-less, gaze-
independent image acquisition in visible light. Moreover, it is unaffected even if the subjects …

Segmenting sclera images for effective recognition under non-cooperative conditions poses
a significant challenge due to the prevalent noise. While U-Net-based methods have shown …

In this piece of work a wrist vein pattern recognition and verification system is proposed.
Here the wrist vein images from the PUT database were used, which were acquired in …

The usage of sclera as a biometric authentication method is discussed in this article. The
traditional fingerprint, face, and iris-based identification methods are only a few and more …