  This publication presents methods for face detection, analysis and
recognition: fast normalized cross-correlation (fast correlation coefficient)
between multiple templates based face pre-detection method, method for
detection of exact face contour based on snakes and Generalized Gradient Vector
Flow field, method for combining recognition algorithms based on Cumulative
Match Characteristics in order to increase recognition speed and accuracy, and
face recognition method based on Principal Component Analysis of the Wavelet
Packet Decomposition allowing to use PCA - based recognition method with large
number of training images. For all the methods are presented experimental
results and comparisons of speed and accuracy with large face databases.
