Building identification systems based on an algorithm for optimally extracting information from physically non-cloned optical functions
Article performs a new identification algorithm based on optimal processing of images of optical physically unclonable functions. To obtain a constant identification data from images of speckle-noise algorithm needs to keep helper data of less size then identification data. The functions of determining the optimal parameters of the algorithm for different camera pixel noise levels are obtained.