Offline Handwritten New Tai Lue Characters Recognition Using CNN-SVM

Abstract

In this paper, the classical convolutional neural network VGG19 is used to recognize the offline handwritten New Tai Lue characters firstly. Then, according to the recognized image features, the CNN suitable for this data set is constructed repeatedly, and 83 kinds of offline handwritten characters are experimentally tested. Finally, the features extracted from CNN are classified by Support Vector Machine (SVM) and the recognition rate is improved compared with VGG19 and CNN constructed in this paper.