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计算机工程 ›› 2009, Vol. 35 ›› Issue (22): 176-178. doi: 10.3969/j.issn.1000-3428.2009.22.060

• 人工智能及识别技术 • 上一篇    下一篇

基于特征的文档图像检索

张 田1,王希常2,尘昌华2   

  1. (1. 山东师范大学管理与经济学院,济南 250014;2. 山东师范大学信息科学与工程学院,济南 250014)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-11-20 发布日期:2009-11-20

Feature-based Document Image Retrieval

ZHANG Tian1, WANG Xi-chang2, CHEN Chang-hua2   

  1. (1. Dept. of Management and Economy, Shandong Normal University, Jinan 250014;2. Dept. of Information Science and Engineering, Shandong Normal University, Jinan 250014)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-11-20 Published:2009-11-20

摘要: 提出一种综合利用文档图像的段落特征和局部像素分布相对差特征进行文档图像检索的方法。给出段落特征和局部像素分布相对差特征的定义、提取方法以及基于这2个特征结合使用的检索方法。段落特征这一全局特征以及局部像素分布相对差特征这一局部特征相结合能够较好地表征和区分文档图像,检索方法将两者充分结合取得较好的效果。

关键词: 文档图像检索, 全局特征, 段落特征, 局部特征, 局部像素分布相对差

Abstract: This paper proposes document image retrieval method based on the paragraph feature combining up with the local relative difference of pixel distributions. The definitions and extraction methods of paragraph feature and local relative difference of pixel distributions are given, and the retrieval method based on the two features are proposed. As a global feature, the paragraph feature combined with the local relative difference of pixel distributions, which is a local feature, could describe the document image sufficiently and give a good distinguish, and based on them, an efficient retrieval method is derived.

Key words: document image retrieval, global feature, paragraph feature, local feature, local relative difference of pixel distributions

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