Affiliations: [a] School of Cyberspace Security, Gansu University of Political Science and Law, Lanzhou, Gansu, China | [b] Key Laboratory of China’s Ethnic Languages and Information Technology of Ministry of Education, Northwest Minzu University, Lanzhou, Gansu, China | [c] School of Artificial Intelligence, Gansu University of Political Science and Law, Lanzhou, Gansu, China
Correspondence:
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Corresponding author: Zhenjiang Li, School of Cyberspace Security, Gansu University of Political Science and Law, Lanzhou, Gansu 730000, China. E-mail: [email protected].
Abstract: . A offline character dataset of Tibetan Historical document in Uchen font, THCU, is presented to facilitate the research of Tibetan Historical document recognition. The dataset THCU includes two subsets: THCU-M and THCU-S. The THCU-M is annotated manually in original document images, including 121214 character samples and 238 character categories. The subset THCU-S is a simulation dataset, and its samples are generated based on the idea of component combination. There are four subsets in THCU-S, in which the numbers of character category are 7238, 2908, 562 and 245 respectively, and the numbers of sample in each category are 5000, 3000, 600 and 600 respectively. We also evaluate THCU dataset using a CNN based model as a baseline performance. The experiment shows that the performance of the model on the real data is greatly improved by adding the generated samples.
Keywords: Tibetan Historical document, character recognition, dataset, sample generation
