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Performance Evaluation of Document Image Algorithms

  • Robert M. Haralick
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1941)

Abstract

Performance evaluation for document image processing has a different emphasis than performance evaluation in other areas of image processing. Other areas of image processing can tolerate some error. Because it is so easily done nearly perfectly by humans, document image processing must also be done nearly perfectly. So the first aspect of performance evaluation for document image processing is to determine the domain in which the performance is nearly perfect. Outside this domain, the algorithm makes errors. Such instances of errors need to be examined and classified and categorized so that the weaknesses of the algorithm can be characterized.

Keywords

Performance Evaluation Tuning Parameter Document Image Acceptance Test Surement Plan 
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 2000

Authors and Affiliations

  • Robert M. Haralick
    • 1
  1. 1.Department of Electrical EngineeringUniversity of Washington Seattle

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