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A multiresolution approach for page segmentation
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DOI：10.1016/S0167-8655(97)00169-4.png)
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Abstract
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In this work we propose a new page segmentation method for recognizing text and graphics based on a multiresolution representation of the page images. Our approach is based on the analysis of a set of feature maps available at different resolution levels. The final output is a description of the physical structure of a page. A page image is broken down into several blocks which represent components of a page, such as text, line-drawings, and pictures. The result, which uses only a small amount of memory in addition to that for the image, may be the first step for a more detailed analysis such as optical character recognition.
Keywords:
document analysis
multiresolution
page segmentation
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