1. A method for automatically recognizing or verifying objects in a digital image, said method comprising: accessing digital image data containing an object of interest therein; detecting an object of interest in said digital image data; normalizing said object of interest to generate a normalized object representation; extracting a plurality of features from said normalized object representation; and applying each extracted feature to a previously-determined additive probability model to determine the likelihood that the object of interest belongs to an existing class.