3 papers
cs.CV2026
Adaptive Contrast Enhancement and Optimised Feature Matching for RootSIFT-Based Palm-Vein Recognition
Kaveen Perera, Fouad Khelifi, Ammar Belatreche
Palm-vein recognition is a highly secure biometric modality due to the uniqueness and subcutaneous nature of vein patterns. However, low contrast in palm-vein images, caused by NIR…
cs.CV2025
Robust Palm-Vein Recognition Using the MMD Filter: Improving SIFT-Based Feature Matching
Kaveen Perera, Fouad Khelifi, Ammar Belatreche
A major challenge with palm vein images is that slight movements of the fingers and thumb, or variations in hand posture, can stretch the skin in different areas and alter the vein…
eess.IV2025
ILACS-LGOT: A Multi-Layer Contrast Enhancement Approach for Palm-Vein Images
Kaveen Perera, Fouad Khelifi, Ammar Belatreche
This article presents an extended author's version based on our previous work, where we introduced the Multiple Overlapping Tiles (MOT) method for palm vein image enhancement. To b…