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Line and Cell Searching in Tables or Forms

Eric Turolla 1 yolande Belaïd 1 Abdel Belaïd 1 
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Item searching is an important step in form analysis. The goal of this paper is to describe a robust method to locate the items whose boundaries are black lines, and an algorithm to classify those items. Our method is based on detection of lines by Hough transform and on searching of cycles in a graph that represents the cells (boundaries of the items). We will show that our approach is robust, skew independent and can be applied to several kind of lines such as continuous, dashed, doubled, etc. We classify the items in four categories: blank, black, gray and meaningful.
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https://hal.inria.fr/inria-00534053
Contributor : Yolande Belaid Connect in order to contact the contributor
Submitted on : Monday, November 8, 2010 - 4:55:13 PM
Last modification on : Friday, February 26, 2021 - 3:28:07 PM

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Eric Turolla, yolande Belaïd, Abdel Belaïd. Line and Cell Searching in Tables or Forms. 8th International Conference on Image Analysis and Processing - ICIAP'95, Sep 1995, San Remo, Italy. pp.509-514, ⟨10.1007/3-540-60298-4_306⟩. ⟨inria-00534053⟩

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