Compression of digital images of scanned documents

Image analysis – Image compression or coding – Shape – icon – or feature-based compression

Reexamination Certificate

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Details

C382S164000, C382S166000, C382S176000, C382S177000, C382S232000, C382S237000, C382S257000, C382S282000, C382S290000, C382S292000, C358S426010, C358S464000

Reexamination Certificate

active

08068684

ABSTRACT:
A first aspect of the invention relates to a method for creating a binary mask image from an a inputted digital image of a scanned document, comprising the steps of creating a binarized image by binarizing the inputted digital image, detecting first text regions representing light text on a dark background, and inverting the first text regions, such that the inverted first text regions are interpretable in the same way as dark text on a light background. A second aspect of the invention relates to a method for comparing in a binary image a first pixel blob with a second pixel blob to determine whether they represent matching symbols, comprising the steps of detecting a line in one blob not present in the other and/or determining if one of the blobs represents an italicized symbol where the other does not.

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Okun, et al. “Robust Text Detection from Binarized Document Images.” ICPR '02 Proceedings of the 16th International Conference on Pattern Recognition. 3. (2002): Print.

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