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.