A method for the linear discrimination of non parametric binary classification is presented. It searches for the discriminate direction which maximizes the generalized Patrick-Fischer distance between the projected classconditional densities. The theoretical background is introduced with a new estimator using orthogonal function according to the Patrick-Fischer distance that gives the best scal...