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Recognition reliability is a vital and sensitive issue in the pattern recognition applications. Recognition with a proper rejection option provides a means to reduce the error rate and to increase recognition reliability (Chow, 1970). It deals with how research projects can be developed into real applications. Relatively few research papers on this topic have been reported in literature (Frelicot & Mascarilla, 2002). In order to clearly explain the recognition reliability problem, the Recognition Rate (RR), Mis-Recognition Rate (MR), Rejection Rate (RJ), and Reliability (Re) are defined and their relationships are analyzed as follows:

A Classifier Fusion System with Verification Module for Improving Recognition Reliability