The diploma thesis presents an analysis of computer facial recognition with various procedures. The function performed by the biometric system was face verification on the basis of facial recognition. Theoretical background, tools, and methods for the experiments and results thereof are also presented.
Recognition was performed on grey pictures of faces from two standard databases, specifically XM2VTS and EYB. The first database included faces without any significant lighting interference, whereas the pictures in the second database were increasingly darker. PCA, SURF, FREAK, BRISK, SURF+PCA, FREAK+PCA, and BRISK+PCA were tested on the XM2VTS database, whereas PCA, SURF, FREAK, and BRISK were tested on the EYB database. In all procedures, the distance between feature vectors was measured using three methods, specifically the Euclidean, City Block, and cosine distance.
The results of facial recognition are shown in the form of tables and graphs. They are evaluated with FAR, FRR, HTER, and EER values. The correlation of FAR and FRR at various operating points are shown by ROC curves. The tables highlight the verification results in three operating points. The time requirement for the calculation of specific feature vectors is also shown.