Recognition and description of complex objects require the representation and processing of various aspects and features. In the paper, we propose an architecture which combines the advantages of different paradigms. Voting and Bayesian networks enable an integrated approach for knowledge based and probabilistic reasoning. (C) 1999 Elsevier Science B.V. All rights reserved.