The current developments in the field of machine vision have opened new vistas towards
deploying multimodal biometric recognition systems in various real-world applications …

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 …

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 …

The advancements in machine vision have opened up new avenues for implementing
multimodal biometric identification systems for real-world applications. These systems can …

In order to tackle limitations of current iris segmentation methods based on deep learning,
such as an enormous amount of parameters, intensive computation and excessive storage …

Segmentation of the iris or sclera is an essential processing block in ocular biometric
systems. However, human-computer interaction, as in VR/AR applications, requires multiple …

The segmentation of the iris is crucial and holds great importance within the medical image
recognition area. Researchers have introduced many architectures and applied them to iris …

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 …

Multi-modal ocular biometrics has recently garnered significant attention due to its potential
in enhancing the security and reliability of biometric identification systems in non …

Multiple ocular region segmentation plays an important role in different applications such as
biometrics, liveness detection, healthcare, and gaze estimation. Typically, segmentation …