计算机与现代化

• 算法设计与分析 • 上一篇    下一篇

基于离散曲线演化的东巴象形文字特征曲线简化算法

  

  1. (1.云南开放大学文化旅游学院,云南昆明650000;2.云南经济管理学院人文艺术学院,云南昆明650000)
  • 收稿日期:2018-04-28 出版日期:2019-09-23 发布日期:2019-09-23
  • 作者简介:杨玉婷(1983-),女,云南昆明人,副教授,硕士,研究方向:数字图像处理,模式识别; 康厚良(1979-),男,教授,研究方向:民族文化。
  • 基金资助:
    国家社会科学基金资助项目(15BTY038); 云南省科学研究基金资助项目(2018JS748)

Dongba Hieroglyph Feature Curve Simplification Algorithm Based on Discrete Curve Evolution

  1. (1. Culture and Tourism College, Yunnan Open University, Kunming 650000, China;
    2. College of Humanities and Art, Yunnan College of Business Management, Kunming 650000, China)
  • Received:2018-04-28 Online:2019-09-23 Published:2019-09-23

摘要: 东巴文是一种十分原始的图画象形文字,作为人类早期图画文字向象形文字、标音文字过渡的文字形式,它既具有图画文字以图表意,又具有现代文字使用简单线条表意的特点。因此,从文字的结构要素入手,通过分析东巴象形文字的构字特点,结合计算机视觉中形状简化的相关研究成果,给出基于离散曲线演化的东巴象形文字特征曲线简化算法。通过大量实验表明,该算法能够有效去除特征曲线中的冗余点及噪音点,突出字符的本质特征,降低相似性度量的计算量,从而为东巴象形文字的检测和识别奠定坚实的基础。

关键词: 特征曲线简化, 离散曲线演化, 东巴象形文字特征, 文字特征提取

Abstract: Dongba hieroglyph is a kind of very primitive picture hieroglyphs, it has a characteristic of pictograph to express meaning by using pictures, but also has a feature of modern word to express the meaning with simple strokes. Therefore, starting from the structure of glyphic, we analyze the feature of Dongba hieroglyphs and combine with the research results of shape simplification in computer vision, and give a simplification algorithm for Dongba hieroglyphic feature curve. Through a large number of experiments, the algorithm can effectively remove the redundant and noise points, reduce the calculation of the similarity measure, and lay a solid foundation for the detection and recognition of Dongba hieroglyphics.

Key words: simplification of feature curve, discrete curve evolution, feature of Dongba hieroglyph, feature extraction of glyphic

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