Battlefield Security: A Novel Facial Recognition Algorithm

Abstract

In the modern era of rapid technological advancements, facial recognition has emerged as a pivotal tool for identifying faces from both static images and dynamic video feeds. This technology leverages nodal points of facial features and compares them with a database of images, operating primarily through Artificial Intelligence. This paper explores the implementation of facial recognition algorithms for real-time fraud detection on the battlefield. Two key algorithmic features, Liveness Detection and Local Binary Patterns (LBP), are highlighted for their effectiveness. To enhance national security and safeguard citizens, defines organizations worldwide are continuously seeking innovative methods to strengthen border security. This study relies on secondary data gathered from diverse sources to support its findings.