The automatic recognition of cursive Korean characters is a di$cult problem, not only due to the multiple possible variations involved in the shapes of characters, but also because of the interconnections of neighboring graphemes within an individual character. This paper proposes a recognition meth
Recognition of on-line cursive Korean characters combining statistical and structural methods
โ Scribed by Jae-ook Kwon; Bongkee Sin; Jin H. Kim
- Book ID
- 108363677
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 756 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0031-3203
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This paper proposes an efficient method for on-line recognition of cursive Korean characters. The recognition of cursive strokes and the representation of a large character set are important determinants in the recognition rate of Korean characters. To deal with cursive strokes, we classify them aut
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