Palm ID

Palm ID research encompasses the development and application of automated systems for identifying and analyzing palm-related data, ranging from palmprint recognition for security and humanitarian aid to palm tree detection in forestry and agriculture. Current research focuses on leveraging deep learning, particularly convolutional neural networks (CNNs) and vision transformers (ViTs), along with advanced techniques like transfer learning and probabilistic modeling, to improve accuracy and efficiency. These advancements have significant implications for various fields, including biometrics, environmental monitoring, and precision agriculture, offering improved security, resource management, and data-driven decision-making.