Stone tablet is one of the important historical and cultural heritages of China. It is not only an important carrier of China ancient civilization, but also is a classical template to research and learn the art of calligraphy. Chinese calligraphy tablet documents that obtained through rubbing were featured by many fuzzy details, bad effect and so on, so it might lose more details in the traditional handling process. In this paper, a total variation (TV) based denoising pre-processing methods for rubbing image has been used, and then a segmentation algorithm based on mathematical morphology is applied. Experiments show this algorithm overcomes the shortcomings of traditional method and weakens the contradiction between the noise suppression and the accuracy of detecting edge details, so it has better practicality.
An efficient, font independent word and character segmentation algorithm for printed Arabic text
