一种基于特征的文档图像检索方法

Tian Zhang
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引用次数: 1

摘要

本文提出了一种结合局部像素分布相对差异和高维数据索引结构的基于段落特征的文档图像检索方法。首先给出了段落特征和局部像素分布相对差异的定义,然后详细描述了段落特征的提取方法,以及基于这两种特征的检索方法。段落特征作为一种全局特征,结合局部像素分布的相对差异,是一种局部特征,可以充分描述文档图像,具有很好的区分效果。该方法采用高维数据索引结构,大大提高了检索速度。在此基础上,推导出一种高效的检索方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Feature-Based Document Image Retrieval Method
A document image retrieval method based on the paragraph feature combining up with the relative difference of local pixel distributions and high-dimensional data index structure is developed in the article .First, the definitions of paragraph feature and relative difference of local pixel distributions are given, then the extraction method is described in detail, so is the retrieval method based on the two features. As a global feature, the paragraph feature combined with the relative difference of local pixel distributions, which is a local feature, could describe the document image sufficiently and give a good distinguish. High-dimensional data index structure used in the method could greatly improve the velocity. Based on them, an efficient retrieval method is derived.
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