Preprocessing for information pattern analysis

Image analysis – Image enhancement or restoration

Reexamination Certificate

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C382S260000, C382S274000, C382S275000, C358S003260, C358S003270, C358S463000

Reexamination Certificate

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11138959

ABSTRACT:
Pre-processing techniques for processing an image to improve the distinctiveness of an information pattern captured in the image before the information pattern is analyzed in a decoding process. The brightness of an image first is normalized by dividing the image into blocks of areas, such as pixels. A brightness distribution value then is determined for each area of the image by fitting the brightness of its surrounding blocks using bilinear interpolation and extrapolation, and a normalized brightness value for each area can then be obtained by dividing the original brightness value by the brightness distribution value. Next, masks are created to distinguish the information pattern from content captured in the image. The masks may be generated based upon contrast differences between the brightness of pixels representing the information pattern, the brightness of pixels representing content, and the brightness of pixels representing the background of the writing medium.

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patent: 7292370 (2007-11-01), Iwaki
Nobuyuki Otsu, “A Threshold Selection Method From Gray-Level Histogram”, IEEE Transactions on Systems, Man, And Cybernetics; Jan. 1979, vol. SMC-9, No. 1 , pp. 62-66.

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