We investigate a knowledge model for our previously proposed approach to object recognition based on low level pattern features. This knowledge includes rules which can deal with situations in which an object may be occluded. The approach is based on fuzzy logic techniques, appropriate when approximate recognition results are adequate. The concept of pattern detectors is also discussed. The approach is illustrated by examples of results for images of office scenes. >