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Two-Dimensional Wavelet Transform in Document Analysis

机译:文档分析中的二维小波变换

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In this paper, a novel wavelet-based method will be presented. In this method, two-dimensional multires-olution analysis (MSA), wavelet decomposition algorithm, and compactly supported orthonormal wavelets are used to transform a document image into sub-images. Based on these sub-images, the reference lines of a grey-level document can be extracted, and knowledge about the geometric structure of the document can be acquired. Particularly, this approach appears to be more efficient in processing form documents with multi-grey level background.
机译:本文将呈现一种新的小波基方法。在该方法中,使用二维多线 - 寡核来分析(MSA),小波分解算法和紧凑地支持的正交小波来将文档图像转换为子图像。基于这些子图像,可以提取灰度级文档的参考线,并且可以获取关于文档的几何结构的知识。特别是,这种方法在处理表单文档中似乎更有效,具有多灰度背景。

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