Handwritten mathematical expression recognition is one of the research fields of handwritten character recognition. Recognition of handwritten mathematical expressions also attracrts attention from the viewpoint of education, and applications that help students whose weak subject are mathematics have also been developed in recent years. In this paper, we focus on handwritten digits recognition. We propose three-step recognition method that consists of support vector machine, artificial neural network and the reevaluation of those results. Experimental results showed that our method achieved 93.4% accuracy for handwritten digit images.