Solving the face growth problem in the biometrie face recognition using Photo-Anthropometric ratios by iris normalization

Over the last years, facial landmarks techniques were the first and main approach to solve biometric facial recognition and they are still capable of achieving great results in controlled environments. However, there are still open problems to be solved, such as how to deal with twins, scale variation and the face growth. In this work, we propose a new method based on measured values (ratios) from facial cephalometric landmarks, which uses an iris size as a normalization factor to solve the influence of face scale (face growth) effect and improving Equal Error Rates (EER) scores for a facial recognition system in specifics scenarios under 5%.