Tongue Image Classification Based on the TSVM

Tongue image classification plays a very important role in the Traditional Chinese Medicine (TCM) modernization. However, the number of training samples labeled by the authoritative TCM experts is small since it is a hard work to confirm the type of the samples, which need a lot of time and human labor. Meantime the separable boundary obtained by these labeled samples is rough and imprecise. Meantime unlabeled samples are abundant and easy to obtain. Transductive support vector machine (TSVM) is a method to reduce human labor and improve accuracy since the unlabeled samples can be joined to train the classifier to provide much more classification information during training. The experimental results show that the TSVM classifier can improve the right classification rate so it is a promising method in the TCM study.