A novel hybrid face profile recognition system using the FERET and MUGSHOT databases
Frank Wallhoff, Gerhard Rigoll · 2002
Face recognition has established itself as an important subbranch of pattern recognition within the field of computer science. Many state-of-the-art systems have focused on the task of recognizing frontal views of people. We present an approach for recognizing profile views (90/spl deg/) with a system trained on transformed frontal views. The system combines an artificial neural network (ANN) and a classification process based on hidden Markov models (HAM). One of the main ideas of this system is to perform the recognition task without the use of any 3D-information of heads and faces. The presented system has been tested with subsets of the FERET and the MUGSHOT databases.