Iris-SAM: Iris Segmentation Using a Foundation Model
• Developed Iris-SAM, a foundation model-based architecture, for precise iris segmentation that adapts effectively across varied lighting and occlusion scenarios (dense eyelashes).• Demonstrates high accuracy in segmenting iris regions, with robust generalization capabilities confirmed across multiple iris datasets.• Utilizes focal loss, enhancing the learning focus on hard-to-segment examples, which significantly improves the segmentation accuracy.Keywords: Iris Segmentation, Foundation Models, Segment Anything Model