Development of an automatic classifier scheme based on the wavelet transform for masses identified in digitized mammographic images. This classifier is part of a mammography CAD scheme. A minimum distances classifier was also used in order to distribute the images in their respective classes. The results have shown that the classifier is able to differentiate suspect and non-suspect nodules with more than 90% of right rate.