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Adaptive, quadratic preprocessing of document images for binarization.

S Mo1, J Mathews

  • 1Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT 84112, USA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 16, 2008
PubMed
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This study introduces an adaptive algorithm to enhance document images before character recognition. The method improves binarization quality by reducing noise and distortions, outperforming existing techniques.

Area of Science:

  • Computer Vision
  • Image Processing
  • Pattern Recognition

Background:

  • Document image binarization is crucial for character recognition.
  • Scanning processes introduce noise and distortions, degrading image quality.
  • Existing preprocessing methods have limitations in handling corrupted images.

Purpose of the Study:

  • To develop an adaptive preprocessing algorithm for document images.
  • To enhance image quality prior to binarization for improved character recognition.
  • To address limitations of current preprocessing techniques.

Main Methods:

  • An adaptive algorithm inspired by blind adaptive equalization of binary communication channels.
  • Utilizes a quadratic system model for edge enhancement.

Related Experiment Videos

  • Applies preprocessing to document images corrupted by noise and distortions.

    • Main Results:

    • Significant improvement in the quality of binarized images.
    • Outperformed direct binarization methods.
    • Demonstrated superiority over a previously available preprocessing technique.

    Conclusions:

    • The proposed adaptive algorithm effectively preprocesses document images.
    • The method enhances edge details and reduces image corruption.
    • Results indicate a substantial improvement in character recognition precursor quality.