一种基于星型图的汉字镜像对称检测方法
A Star-Graph-Based Detection Method for Reflection Symmetry of Chinese Characters

摘要 结合不同类型的汉字特征——尺度不变特征变换(SIFT)和轮廓信息, 提出一种基于星型图的汉字镜像对称检测方法。该方法利用基础对称元素构造一个加强关系有向图来描述不同对称元素之间的加强关系, 从而将检测汉字的显著对称轴问题转化为寻找具有局部最大权重的星型子图问题。实验结果表明, 与现有方法相比, 所提方法在汉字数据集上具有更好的检测效果。
Abstract This study proposes a detection method of bilateral symmetry for Chinese characters that combines different types of character features, such as scale invariant feature transform (SIFT) and contour information. A directed graph is constructed with the basic symmetric elements of a character to describe the enhancement relationships among the elements. Furthermore, the detection of the most significant axes of symmetry in one character is transformed into the problem of finding star subgraphs with local maximum weight. Experiment results show that the proposed method outperforms the existing methods on Chinese characters database.