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Published on: March 11, 2021
A coding method of chinese characters.
1Imaging Science and Engineering Laboratory, Tokyo Institute of Technology, Midori-ku, Yokohama 227, Japan.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Summary
This study introduces a novel coding method for handprinted Chinese characters using grammar-based sentential generation. This approach effectively encodes characters for improved classification and discrimination.
Area of Science:
- Computer Science
- Artificial Intelligence
- Natural Language Processing
Background:
- Handprinted Chinese character recognition remains a challenge.
- Existing coding methods may not fully capture structural complexities.
Purpose of the Study:
- To propose an effective coding method for handprinted Chinese characters.
- To leverage grammar-based approaches for character representation.
Main Methods:
- Defining a grammar to map block categorization to sentential generation.
- Generating two strings: production rules and block codes.
- Encoding Chinese characters using these two strings.
Main Results:
- The proposed method generates effective character encodings.
- The two-string representation captures character structure and components.
- The coding method is demonstrated to be available for character classification.
Conclusions:
- The grammar-based coding method offers an effective way to represent handprinted Chinese characters.
- This approach facilitates accurate classification and discrimination of characters.
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