Handwritten Digit Recognition Based on Nonlinear Potential Function Arithmetic

A geometry classification algorithm based of nonlinear potential function was proposed in this paper. The algorithm was designed to reconstruct discriminant function of decision surface by electric potential theory, and to classify handwritten digits by nonlinear potential function. Classifier based this algorithm can improve classifying quality according to writing habit of different people. The algorithm is realized by VC++, the results indicate that the algorithm can reduce error rate of classification.