5 papers
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…
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
Yassine Habchi, Hamza Kheddar, Yassine Himeur +4
The rapid advancement of deep learning (DL) has transformed healthcare, particularly in cancer detection and diagnosis. DL surpasses traditional machine learning and human accuracy…
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…
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…
PDC-ViT : Source Camera Identification using Pixel Difference Convolution and Vision Transformer
Omar Elharrouss, Younes Akbari, Noor Almaadeed +3
Source camera identification has emerged as a vital solution to unlock incidents involving critical cases like terrorism, violence, and other criminal activities. The ability to tr…