Palmprint Recognition

Palmprint recognition, a biometric authentication method leveraging the unique texture and vein patterns of palms, aims to develop accurate and robust systems for identification and verification. Current research emphasizes improving recognition accuracy through advanced deep learning architectures like convolutional neural networks and vision transformers, often incorporating multi-scale feature extraction and attention mechanisms to capture both global and local palmprint details. Furthermore, significant effort focuses on addressing data scarcity by generating synthetic palmprint data using diffusion models and exploring contactless acquisition methods for improved hygiene and user experience. These advancements hold promise for enhancing security in various applications, from mobile payments to access control, while also contributing to the broader field of biometric authentication.