A novel stroke-based feature extraction for handwritten chinese character recognition

Hung Pin Chiu, Din Chang Tseng

研究成果: 雜誌貢獻期刊論文同行評審

24 引文 斯高帕斯(Scopus)


A stroke-based approach to extract skeletons and structural features for handwritten Chinese character recognition is proposed. We first determine stroke directions based on the directional run-length information of binary character patterns. According to the stroke directions and their adjacent relationships, we split strokes into stroke and fork segments, and then extract the skeletons of the stroke segments called skeleton segments. After all skeleton segments are extracted, fork segments are processed to find the fork points and fork degrees. Skeleton segments that touch a fork segment are connected at the fork point, and all connected skeleton segments form the character skeleton. According to the extracted skeletons and fork points, we can extract primitive strokes and stroke direction maps for recognition. A simple classifier based on the stroke direction map is presented to recognize regular and rotated characters to verify the ability of the proposed feature extraction for handwritten Chinese character recognition. Several experiments are carried out, and the experimental results show that the proposed approach can easily and effectively extract skeletons and structural features, and works well for handwritten Chinese character recognition.

頁(從 - 到)1947-1959
期刊Pattern Recognition
出版狀態已出版 - 12月 1999


深入研究「A novel stroke-based feature extraction for handwritten chinese character recognition」主題。共同形成了獨特的指紋。