Recognition of human faces based on population verified reproducible measurements between facial anthropological landmarks on 2 dimensional or 3 dimensional human photographs

A method of recognition of human faces based on population verified reproducibility of making linear and/or angular measurements between facial anthropological landmarks on 2 dimensional or 3 dimensional human photographs, comprising steps of:

• Randomly collect male and female individuals from a population, taking 2-D or 3-D photographs of their faces, sorting these 2-D or 3-D photographs by their genders, identifying all these anthropological facial landmarks on 2-D or 3-D human photographs in male and female and making linear and/or angular measurements between anthropological facial landmarks.
• The said each linear measurement is measured between at least 2 anthropological landmarks.
• The said each angular measurement is measured between at least 3 anthropological landmarks.
• The said each repeated linear or angular measurement starting from the first (n=1) and second (n=2) individual is calculated for their means, standard deviations (SD) and standard errors (SE).
• The said every additional repeated measurement made on study subjects, i.e. n=1, 2, 3 followed by n=1, 2, 3, 4, etc., new sets of mean, SD and SE are calculated.
• The said cumulative standard deviation (SD) and/or cumulative standard errors (SE) are plotted against the number of individuals (n) measured for that particular linear or angular measurement.