This paper presents a new technique for the design of class-oriented recognizer. For each recognizer a genetic technique is used to determine the weights to balance, in an optimal way, the local decisions obtained from the analysis by parts of the patterns of the specific class. The experimental results, that have been obtained in the field of hand-written numeral and character recognition, demonstrate the superiority of the new technique with respect to other traditional approaches.