Julì a Minguilí On

نویسندگان

  • Julià Minguillón
  • Jaume Pujol
  • Kenneth Zeger
چکیده

In this paper we present a progressive classification scheme for a document layout recognition system (background, text and images) using three stages. The first stage, preprocessing, extracts statistical information that may be used for background detection and removal. The second stage, a tree based classifier, uses a variable block size and a set of probabilistic rules to classify segmented blocks. When a block cannot be classified at a given block size because contains more than one class, it is split in four sub-blocks that are independently classified. The third stage, postprocessing, uses the label map generated in the second stage with a set of context rules to label unclassified blocks, trying also to solve some of the misclassification errors that may have been generated during the previous stage. The progressive scheme used in the second and third stages allows the user to stop the classification process at any block size, depending on his requirements. Experiments show that a progressive scheme combined with a set of postprocessing rules increases the percentage of correctly classified blocks and reduces the number of block computations.

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تاریخ انتشار 1999