基于形状描述符的文档图像索引和符号识别

Ehtesham Hassan, S. Chaudhury, M. Gopal
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引用次数: 15

摘要

本文提出了一种基于形状上下文的形状描述符,将其与基于层次距离的哈希方法相结合,用于基于文字和图形模式的文档图像索引和检索。形状描述符表示在物体形状边界上采样点的相对排列。我们还证明了新的形状描述符对字符和符号分类的适用性。对于索引,我们提供了新的基于距离的分层位置敏感哈希公式。实验产生了可喜的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shape Descriptor Based Document Image Indexing and Symbol Recognition
In this paper we present a novel shape descriptor based on shape context, which in combination with hierarchical distance based hashing is used for word and graphical pattern based document image indexing and retrieval. The shape descriptor represents the relative arrangement of points sampled on the boundary of the shape of object. We also demonstrate the applicability of the novel shape descriptor for classification of characters and symbols. For indexing, we provide anew formulation for distance based hierarchical locality sensitive hashing. Experiments have yielded promising results.
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