计算机工程 ›› 2019, Vol. 45 ›› Issue (3): 217-224.doi: 10.19678/j.issn.1000-3428.0052619

• 图形图像处理 • 上一篇    下一篇

基于犹豫模糊特征的古籍汉字图像检索方法

田学东,柴彦立,王海彬   

  1. 河北大学 网络空间安全与计算机学院,河北 保定 071002
  • 收稿日期:2018-09-10 出版日期:2019-03-15 发布日期:2019-03-15
  • 作者简介:田学东(1963—),男,教授、博士,主研方向为模式识别、信息检索、图像检索;柴彦立、王海彬,硕士研究生。
  • 基金项目:

    河北省教育厅河北省高等学校科学技术研究重点项目(ZD2017208)。

Retrieval Method of Ancient Chinese Character Images Based on Hesitant Fuzzy Features

TIAN Xuedong,CHAI Yanli,WANG Haibin   

  1. School of Cyber Security and Computer,Hebei University,Baoding,Hebei 071002,China
  • Received:2018-09-10 Online:2019-03-15 Published:2019-03-15

摘要:

古籍汉字存在结构复杂、风格多样、字形退化严重等特点,传统的弹性网格特征提取难以达到理想效果。为此,利用犹豫模糊集在多特征、多属性决策方面的优势,提出一种基于犹豫模糊特征的古籍汉字图像检索方法。将古籍汉字图像进行弹性网格划分,归纳周围网格在距离、位置、长度等方面对当前网格中的笔画像素有影响的评价指标,并进行相应的隶属度计算。利用犹豫模糊距离测度方法对古籍汉字待查询图像与候选古籍汉字图像进行相似度度量,实现对古籍汉字图像的检索。实验结果表明,该方法的古籍汉字图像检索效率较高。

关键词: 古籍汉字, 图像检索, 弹性网格特征, 犹豫模糊集, 相似度

Abstract:

Ancient Chinese character always has complex structure,diverse styles and serious character degradation.Traditional elastic grid feature extraction is difficult to achieve ideal effect.Considering the advantages of the hesitant fuzzy theory in multi-feature and multi-attribute decision,an image retrieval method of ancient Chinese character based on the hesitant fuzzy features is proposed.The elastic grid of ancient Chinese character image is divided.Generalizes the evaluation indexes of the influence of the distance,position and length of the surrounding grids on the stroke pixels in the current grid,and calculates the corresponding membership degree.Compare the similarity between the image to be retrieved and the candidate image by the hesitation fuzzy distance measurement,and get the retrieval results.Experimental results show that the proposed method has a relatively good performance in ancient Chinese character images retrieval.

Key words: ancient Chinese characte, image retrieval, elastic grid feature, hesitat fuzzy set, similarity degree

中图分类号: