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Document Image Analysis Using a New Compression Algorithm

  • Shulan Deng
  • Shahram Latifi
  • Junichi Kanai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1655)

Abstract

By proper exploitation of the structural characteristics existing in a compressed document, it is possible to speed up certain image processing operations. Alternatively, one can derive a compression scheme which would lend itself to an efficient manipulation of documents without compromising the compression factor. Here, a run-based compression technique is discussed for binary documents. The technique, in addition to achieving bit rates comparable to other compression schemes, preserves document features which are useful for analysis and manipulation of data. Algorithms are proposed to perform vertical run extraction, and similar operations in the compressed domain. These algorithms are implemented in software. Experimental results indicate that fast analysis of electronic data is possible if data is coded according to the proposed scheme.

Keywords

Document Image Compression Algorithm Compression Scheme Pass Mode Vertical Mode 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Shulan Deng
    • 1
  • Shahram Latifi
    • 1
  • Junichi Kanai
    • 2
  1. 1.Department of Electrical and Computer EngineeringUniversity of Nevada Las VegasLas Vegas
  2. 2.Panasonic Information and Networking Technologies LaboratoryPINTLPrincetonUSA

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