Paper
3 April 1997 Automated system for numerically rating document image quality
T. Michael Cannon, Patrick M. Kelly, S. Sitharama Iyengar, Nathan Brener
Author Affiliations +
Proceedings Volume 3027, Document Recognition IV; (1997) https://doi.org/10.1117/12.270068
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
As part of the Department of Energy document declassification program, we have developed a numerical rating system to predict the OCR error rate that we expect to encounter when processing a particular document. The rating algorithm produces a vector containing scores for different document image attributes such as speckle and touching characters. The OCR error rate for a document is computed from a weighted sum of the elements of the corresponding quality vector. The predicted OCR error rate will be used to screen documents that would not be handled properly with existing document processing products.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
T. Michael Cannon, Patrick M. Kelly, S. Sitharama Iyengar, and Nathan Brener "Automated system for numerically rating document image quality", Proc. SPIE 3027, Document Recognition IV, (3 April 1997); https://doi.org/10.1117/12.270068
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Optical character recognition

Speckle

Image quality

Algorithm development

Error analysis

Feature extraction

Quality systems

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