Two-headed eye-segmentation approach for biometric identification. (arXiv:2209.15471v1 [cs.CV])

Iris-based identification systems are among the most popular approaches for
person identification. Such systems require good-quality segmentation modules
that ideally identify the regions for different eye components. This paper
introduces the new two-headed architecture, where the eye components and
eyelashes are segmented using two separate decoding modules. Moreover, we
investigate various training scenarios by adopting different training losses.
Thanks to the two-headed approach, we were also able to examine the quality of
the model with the convex prior, which enforces …

arxiv biometric identification segmentation