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Data compression of the kanji character patterns digitized on the hexagonal mesh.
S Yajima1, J L Goodsell, T Ichida
1Department of Information Science, Faculty of Engineering, Kyoto University, Kyoto, Japan.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Summary
New data compression algorithms for Kanji characters achieve 60% data reduction. These two-stage methods store minimal pattern data and use corrections for efficient Kanji data compression.
Area of Science:
- Computer Science
- Data Compression
- Image Processing
Background:
- Kanji character patterns require efficient storage and transmission.
- Existing data compression methods may not be optimal for specialized character sets like Kanji.
- Hexagonal mesh digitization offers a unique approach to pattern representation.
Purpose of the Study:
- To introduce novel two-stage data compression algorithms specifically for Kanji character patterns.
- To evaluate the effectiveness of these algorithms in reducing data size.
- To assess the accuracy of pattern recovery after compression.
Main Methods:
- Development of a two-stage compression approach for hexagonal mesh digitized Kanji patterns.
- Storing only a fraction (one-third) of the original pattern elements.
- Implementing a correction mechanism to refine the recovered pattern data.
Main Results:
- Achieved a significant data reduction of 60 percent for Kanji character patterns.
- The compression method retains essential pattern information while minimizing storage.
- The correction stage effectively addresses potential errors in pattern reconstruction.
Conclusions:
- The proposed two-stage data compression algorithms offer a highly effective solution for Kanji character data.
- This method presents a substantial improvement in data reduction for specialized character sets.
- The approach is suitable for applications requiring efficient storage and transmission of Kanji information.
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