android 汉字笔画拆写,基于形状分割的手写汉字笔划提取方法
摘要:
Stroke extraction is the preprocessing step of the writer identification which is aimed at distinguishing between different writers. This paper presents an algorithm for the handwritten character stroke extraction of writer identification. The corresponding relationship between the discontinuous points of contours and junction regions of strokes is defined. All junction regions and the junction types are determined by the detection of the convex and concave discontinuous points in the contours of character images,and the junction regions are decomposed as their junction types. Strokes are thinned by the method of the following contour,finally.The experimental results show that the proposed method is effective and accurate compared to the methods based on thinning and segmenting techniques. Therefore,the method for extracting the handwritten chinese strokes based on shape decomposition in this paper features high operational ability and is practical.
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