earticle

영어

Due to Thai government policy give tablets to first grade students for use in learning and teaching. Mobile-augmented reality is used to help teach a powerful one. However, the most application programs are applied in English when used with the Thai alphabet is a decrease in performance. Therefore, we are developing template matching base-on ARToolKit used for Thai alphabet learning on mobile augmented reality. Especially, we are focusing on improvement character recognition for Thai alphabet learning, which enables extract character image as marker from mobile camera. To increasing the recognition rate of Thai alphabet base on ARToolKit by group similar shape for identifying each group of character. To dissimilarity, we propose a structured template matching technique for recognizing features such as knot of character. In this paper, we describe an abstract of our proposed method and present its experimental results.