Classification of Chinese characters using pseudo skeleton features

Ming Gang Wen, Kuo Chin Fan, Chin Chuan Han

研究成果: 雜誌貢獻期刊論文同行評審

4 引文 斯高帕斯(Scopus)


In this paper we present a novel method to classify machine printed Chinese characters by matching the code strings generated from pseudo skeleton features. In our approach, the pseudo skeletons of Chinese characters are extracted rather than using skeletons extracted by traditional thinning algorithms. The features of the pseudo skeletons of both input and template characters are then encoded into two code strings. Finally, the edit-distance algorithm is employed to compute the similarity between the two characters based on their corresponding encoded strings. The main contribution of this paper is to effectively classify multi-fonts Chinese characters using a single-font reference database. Experiments were conducted on 5401 daily-used Chinese characters of various fonts and sizes. Experimental results demonstrate the validity and efficiency of our proposed method for classifying Chinese characters.

頁(從 - 到)903-922
期刊Journal of Information Science and Engineering
出版狀態已出版 - 9月 2004


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