Mining spatial association rules from document layout structures

نویسندگان

  • Margherita Berardi
  • Michelangelo Ceci
  • Donato Malerba
چکیده

In this paper we investigate the discovery of spatial association rules from a particular kind of images, namely document images. Document images are initially processed to extract both their layout structures and their logical structures. To take into account the inherent spatial nature of the layout structure, a spatial data mining algorithm is applied, which returns spatial association rules. We present possible applications of spatial association rules detected from document layout. We also illustrate and comment experimental results on a set of multi-page documents extracted by IEEE PAMI.

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تاریخ انتشار 2003