Manifold learning and its application in form processing

The identification of language and character type has been an active area of research after recognition of machine printed text. Research on identification of handwritten text and printed text is seldom conducted. But it is common used in recognition of form. For character type identification, manifold learning algorithm locally linear embedding (LLE) is imported. A generalizing method and a parameters estimation method are proposed. Experiments in identification printed/handwritten Chinese characters and digits show that its performance is higher than support vector machine (SVM) classification. The combination of dimensionality reduction of LLE and linear discriminant analysis (LDA) classification achieves a similar accurate rate as combination of LLE and SVM classification but runs much faster than it.