Interpretation of colored documents

Image analysis – Color image processing – Pattern recognition or classification using color

Reexamination Certificate

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C382S170000, C382S171000, C382S176000, C382S190000, C382S224000, C382S205000, C358S002990, C358S515000, C358S462000, C358S540000, C345S442000, C345S443000

Reexamination Certificate

active

06999616

ABSTRACT:
Automatic interpretation processing operations, such as character recognition, require a binary image of information-bearing image elements and a background. Digital image data produced by scanning a color-containing document frequently contain many different colors so that a division into information-bearing image elements and background is not evident. The invention divides connected components (contiguous pixels with the same color) in the digital image into background and other connected components, whereafter the other connected components are allocated, in accordance with a predetermined criterion, either to the background or to a foreground. The foreground connected components are combined into information elements suitable for the automatic interpretation processing. The division into information-bearing image elements and background can be preceded by a color quantisation processing of the digital image data.

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Koichi Sasakawa et al., “A Method for Threshold Selection in Binary Images Using mean Adjacent-Pixel Number”, Systems & Computers in Japan, US, Scripta Technica Journals, New York, 22(3) : 66-73 (1991).
Karin Sobottka et al., “Identification of Text on Colored Book and Journal Covers”, Institute of Informatics and Applied Mathematics University of Bern, NeubrÜckstrasse 10, CH 3012 Bern, Switzerland, 57-62 (1999).

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