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Gaussian Model-based Image Binarization
Technical Challenge:Conversion of gray-scale and color document images to a binary representation for text extraction.
Description:This technology is a new algorithm for the binarization and resolution expansion of gray-scale images of text. The process models the distribution of gray scale intensities with five different Gaussian models. These models are then used to determine the output pixel values of the resultant binary image. Binarization of text images is an essential preprocessing step required for many automated document content extraction.
Demonstration Capability:Yes. An Unclassified demonstration is available.
Potential Commercial Application(s):
Patent Status:Filed: Patent Application Serial No. 10/063,423
Reference Number: 1235
If you are interested in exploring this technology further, please express your interest in writing to the:
National Security Agency
Date Posted: Jan 15, 2009 | Last Modified: Jan 15, 2009 | Last Reviewed: Jan 15 2009