This paper proposes to use deep learning-based iris segmentation models to extract highly irregular iris texture areas in post-mortem iris images, and shows how to use segmentation masks predicted by neural networks in conventional, Gabor- based iris recognition method, which employs circular approximations of the pupillary and limbic iris boundaries.