Palm Vein

Palm vein recognition is a biometric authentication method leveraging the unique vascular patterns in the palm for secure identification. Current research emphasizes improving accuracy and robustness using deep learning architectures like convolutional neural networks (CNNs) and transformers, often incorporating techniques such as attention mechanisms, large kernel convolutions, and contrastive learning to enhance feature extraction from often noisy or limited datasets. This field is significant due to its high security and contactless nature, offering advantages over other biometric modalities, and ongoing work focuses on addressing challenges like data heterogeneity and developing effective countermeasures against presentation attacks.

Papers