A Novel Approach to Recover Writing Order From Single Stroke Offline Handwritten Images
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Framework Toward Restoration of Writing Order from Single-Stroked Handwriting Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cascade Markov random fields for stroke extraction of Chinese characters
Information Sciences: an International Journal
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This paper presents a robust thinning-based method for the segmentation of strokes from handwritten Chinese characters. A new set of feature points is proposed for the analysis of skeleton images. A geometrical graph based approach is developed for the analysis of strokes. A novel criterion is proposed for the identification of the fork points in a skeleton image which correspond to the same joint points in the original character image. The experimental results show that the proposed method is effective.