Stand for Experimental Evaluation of the Quality of Facial Recognition Algorithms

The paper deals with different methods of face recognition, defined by the input characteristics, selected evaluation criteria methods of face recognition; and put the experiment to collect statistical data on the work methods selected face recognition; peculiarities of the use of methods of facial recognition, depending on the conditions of use; developed and tested system of quality assessment methods of the recognition. The results are reflected in the development of a digital double stand for the study of facial recognition algorithms.