Classification of handprinted Kanji characters by the structured segment matching method
Pattern Recognition LettersPublished 1 July 1983
Yoshiyuki Yamashita, Koichi Higuchi, Y. Yamada, Yunosuke Haga
Citations47
SJR quartileQ1
SJR score1.00
SNIP1.43
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TL;DR
A method for handprinted Kanji character classificatin is proposed and a feature vector that represents the distribution of strokes is generated and is matched with average vectors in a dictionary.
Abstract
A method for handprinted Kanji character classificatin is proposed in this paper. After extraction of directional line segments and partitioning of the character frame area, a feature vector that represents the distribution of strokes is generated and is matched with average vectors in a dictionary.
Keywords
Computer Science