Object recognition in digital image processing is the task of finding a particular object in an image. Although there are many pattern recognition methods developed for handling the problem of object recognition, it is still a challenging task in computer vision systems and image understanding. This paper presents a new model for object recognition using the concepts of Bayes classifier, fusion of probability measures, and the permanence of ratios.