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The teeth are natural self-defense weapon of animals. For human, the pronunciation of language is closely related to the upper and lower front teeth (incisors). Furthermore, the cleanliness of the teeth even has an important influence on daily social activities and status of people. Therefore, when the teeth are diseased or need to be corrected, it becomes particularly vital to conduct a precise classification of different teeth in the oral cavity. In this paper, we will introduce our proposed method, back propagation neural network based on wavelet entropy and Levenberg-Marquardt algorithm, to make a correct classification of the teeth. The total accuracy of our method is 83.83± 2.92%. Our method is better than the state-of-art methods in performance. Keywords—teeth classification; back propagation neural network; wavelet entropy; Levenberg-Marquardt algorithm

Four-category Classification of Human Teeth Based on Wavelet Entropy and Back Propagation Neural Network