TAO-LBP: A Novel Approach for Palmprint-Based Biometric Authentication

Abstract

Biometric authentication, such as fingerprints and facial recognition, is increasingly used for securing devices and networks but still poses security risks. Palmprints offer a promising alternative. In this work, we introduce a new feature extraction method, Triangular and Orthogonal Local Binary Patterns (TAO-LBP), based on the LBP descriptor. TAO-LBP improves orientation and texture coding, enhancing robustness to rotation and orientation changes. Experiments on IITD and CASIA palmprint datasets show that TAO-LBP outperforms standard LBP, making it a more reliable method for palmprint recognition.