Exploiting second order information to design a novel multiple expert decision combination platform for pattern classification

A methodology is introduced for configuring a novel multiple expert decision combination platform for recognition of handwritten characters. It is demonstrated that such a generalised platform can enhance final recognition performance by building a knowledge-base of a priori second order information from an evaluating dataset.