A dynamical learning method with SVM and its application on bank slip recognition

This paper introduces a dynamical learning method using support vector machine (SVM). This method can solve such machine learning problems as the difficulties in gathering training samples and the change of samples with outer environment. It is proved that SVM classifiers can achieve optimal performance after using this method in tracking the change of samples. A bank slip OCR system designed by this method proves the validity.