Jia Gu Wen characters, which have the features of drawings, were the most ancient graphlike Chinese characters used about 4,000 years ago. Thus, the currently available methods for Chinese character recognition are not applicable. This article proposes a two-level classification recognition method.
The coding principle and method for automatic recognition of Jia Gu Wen characters
โ Scribed by FENG Li; PENG-YUNG WOO
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 135 KB
- Volume
- 53
- Category
- Article
- ISSN
- 1071-5819
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โฆ Synopsis
Jia Gu Wen characters carved on turtle backs or animal bones with the features of drawings are the most ancient Chinese characters used about 3000 years ago. This paper proposes a theory and technique for Jia Gu Wen character recognition based on coding. The key idea is to treat a Jia Hu Wen character as a non-directed graph. Its topological features are extracted to be the basis of recognition. The approach proposed in this paper is also applicable to character recognition of other languages such as Japanese, Korean, Mongolian or Tibetan.
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