Face recognition is emerging as an active research area spanning several disciplines, such as image processing, pattern recognition, computer vision and neural networks. Face recognition technology has numerous commercial and law enforcement applications. The paper presents an automatic system based on wavelet transforms for face recognition. A range of wavelet decompositions, together with different threshold types and segmentation algorithms, has been implemented in order to investigate the best performances. Haar, Gabor and 9/7 wavelet filters have been implemented as part of the proposed algorithms due to their simplicity, suitability and regularity for face recognition using multiresolution approaches.