Two-dimensional (2D) face recognition techniques use measurements and calculations of specific geometric characteristics of a localized face. These may include the mouth, nose, or other characteristics. In this variant, the distances, sizes, or general positions of the characteristics are measured. For the complex computation of a template, the wavelet analysis, e.g. utilizing of Gabor transformation, can be used. For template matching (the comparison of whether person XY is indeed person XY), one or more calculated frontal images of the person must already be available in the database.