Hands Up!
This study delves into the potential of contactless palmprints within large-scale biometric frameworks, focusing on improving candidate narrowing through an encoder-based approach. Utilizing deep neural networks and trained via semi-hard triplet learning, the research transforms palm images into distinctive feature vectors for precise identification and candidate selection. Comprehensive analysis
