Research on the Method of Tibetan Recognition Based on Component Location Information
| Autor: | Yuehui Han, Weilan Wang, Yiqun Wang, Xiaojuan Wang |
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| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Pattern Recognition and Computer Vision ISBN: 9783030033378 PRCV (3) |
| DOI: | 10.1007/978-3-030-03338-5_6 |
| Popis: | The recognition of Tibetan is of great significance to the study of Tibetan culture while the progress of Tibetan character recognition is lagging behind. Especially when there are not a large number of available training samples, Tibetan character recognition is very difficult. So we propose a recognition method for Tibetan characters based on component location information without a large number of training samples. The proposed method includes three main parts: (1) The segmentation of character and the extraction of component which contain location information in the character; (2) Features extraction and classifier design; (3) The superposition of component after recognition and the retrieval of character. The testing results are: the recognition rate of single component is 98.4%, the recognition rate of multilevel component is 97.2%. It indicates that the method has a good effect on the recognition of Tibetan character, and it is helpful for the recognition of Tibetan documents. |
| Databáze: | OpenAIRE |
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