Fast and Robust Speckle Pattern Authentication by Scale Invariant Feature Transform algorithm in Physical Unclonable Functions
This paper presents a fast and robust authentication method for optical Physical Unclonable Functions (PUFs) that utilizes the Scale Invariant Feature Transform (SIFT) algorithm to reliably extract unique features from speckle patterns, enabling secure verification even under geometric distortions like rotation, zooming, and cropping.