3D Finger Knuckle

3D finger knuckle recognition is an emerging biometric technology leveraging the unique and highly discriminative texture patterns of finger knuckles for identity verification. Current research focuses on developing robust deep learning models, often incorporating multi-scale feature extraction and techniques to reduce feature dimensionality for efficient comparison, improving accuracy and practicality. These advancements aim to create more compact and accurate biometric systems, potentially impacting applications requiring contactless and distance-based identification. The field is actively exploring optimal feature representation methods to enhance both recognition accuracy and system efficiency.