Image analysis – Color image processing – Image segmentation using color
Patent
1997-05-29
2000-11-14
Chang, Jon
Image analysis
Color image processing
Image segmentation using color
382165, 382176, 358462, G06K 962
Patent
active
061481025
ABSTRACT:
A method and apparatus for recognizing text in a multicolor image stored in a computer. The image is separated into multiple blocks, and the color distributions of each of the blocks are analyzed. The blocks having two main colors are identified, and two-color blocks have similar colors are grouped into two-color zones. The two colors in each zone are converted to black and white to produce a black and white image. Text is identified in the two-color zones by performing optical character recognition of the black and white image.
REFERENCES:
patent: 4414635 (1983-11-01), Gast et al.
patent: 5488670 (1996-01-01), Suzuki et al.
patent: 5818953 (1998-10-01), Queisser et al.
patent: 5848185 (1998-12-01), Koga et al.
patent: 5933249 (1999-08-01), Shimura et al.
patent: 5933524 (1999-08-01), Schuster et al.
Q. Huang, B. Dom, D. Steele, J. Ashley, W. Niblack; Foreground/Background Segmentation Of Color Images By Integration Of Multiple Cues; IEEE, Los Alamitos, CA (1995); pp. 246-249.
E.B. Saff, A.B.J. Kuijlaars; Distributing Many Points On A Sphere; Springer Verlag, New York, vol. 19, No. 1 (1997); pp. 5-11.
Y. Zhong, K. Karu, A.K. Jain; Locating Text In Complex Color Images; Pattern Recognition, vol. 28, No. 10, Great Britain (1995); pp. 1523-1535.
V. Wu, R. Manmatha, EM. Riseman; Finding Text In Images; University Of Massachusetts, Amherst, MA (Jan. 1997); pp. 1-32.
Adobe Systems Incorporated
Chang Jon
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