In this paper a new technique and software tool for the generation of systematically organized confusing characters is presented; by means of this tool it is possible to transfer human knowledge on character recognition into an open database in a systematic way. This base is useful to test automatic character recognizers by comparing their performance to human unchallenged ability in recognizing hand-written characters.This base can be used also to accomplish experiments in the field of confusing character recognition, where the comparison with human knowledge is necessary. In fact it has been underlined the need to increase knowledge on human learning and classification mechanisms, in order to design new and more efficient classification algorithms consistent with human recognition processes, also by studying the properties of confusing characters.