Sclera segmentation is a key component of sclera recognition, which decides the region-of-
interest (ROI) for recognition and has a considerable impact on the overall performance. In …

This paper proposes a novel sclera segmentation approach based on an attention assisted
U-Net model, named ScleraSegNet. Several off-the-shelf or improved attention modules are …

Sclera segmentation is a crucial step in sclera recognition, which has been greatly
advanced by Convolutional Neural Networks (CNNs). However, when dealing with non …

In the realms of biometrics and computer vision, the sclera assumes a pivotal role in
individual identification. Serving as the eye's outer layer, it offers a distinct and reliable …

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 …

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 …

The sclera has recently been gaining attention as a biometric modality due to its various
desirable characteristics. A key step in any type of ocular biometric recognition, including …

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 …

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

Neural networks require normalized inputs which are generally small floating point numbers.
Convolutional Neural Networks (CNNs) use filters that are applied to multiple layers of a …