Sclera Segmentation

Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach

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 by automated decision-making models. A considerable amount of …

SSBC 2020: Sclera Segmentation Benchmarking Competition in the Mobile Environment

The paper presents a summary of the 2020 Sclera Segmentation Benchmarking Competition (SSBC), the 7th in the series of group benchmarking efforts centred around the problem of sclera segmentation. Different from previous editions, the goal of SSBC …

ScleraSegNet: An Attention Assisted U-Net Model for Accurate Sclera Segmentation

Accurate sclera segmentation is critical for successful sclera recognition. However, studies on sclera segmentation algorithms are still limited in the literature. In this paper, we propose a novel sclera segmentation method based on the improved …