Approach to Face Recognition Using Neural Networks

The paper describes the approach to automatic face recognition for access control application area using wavelet transform and neural network's ensemble. Wavelet transform implements the compression of the face images and thus accelerates the classifier's work, while neural network's ensemble with proposed decision rule provides low recognition error. Proposed ensemble's decision rule carries out a high level of unknown people's access rejection, which is the most significant requirement for the access control systems, and gives a good balance between known and unknown people's recognition errors.