Image analysis – Color image processing – Image segmentation using color
Patent
1993-09-02
1996-11-26
Razavi, Michael T.
Image analysis
Color image processing
Image segmentation using color
382175, 358453, 358538, G06K 946
Patent
active
055794076
ABSTRACT:
An optical character recognition system which can extract information from documents into machine readable form for selected inclusion into a data base uses human classification through the use of translucent ink pens of colors which correlate to field designations. The ink pens, commonly known as highlighters, are used to mark the selected text. An optical scanner reads the marked document and converts it to electronic data which is stored into data base fields according to the color marked regions.
REFERENCES:
patent: 3938088 (1976-02-01), Clark
patent: 4479242 (1984-10-01), Kurata
patent: 4538182 (1985-08-01), Saito et al.
patent: 4553261 (1985-11-01), Froessl
patent: 4574393 (1986-03-01), Blackwell et al.
patent: 4577235 (1986-03-01), Kannapell et al.
patent: 4601057 (1986-07-01), Tsuji et al.
patent: 4724309 (1988-02-01), Greene
patent: 4760606 (1988-07-01), Lesnick et al.
patent: 4812904 (1989-03-01), Maring et al.
patent: 4985863 (1991-01-01), Fujisawa et al.
patent: 5010580 (1991-04-01), Vincent et al.
patent: 5014328 (1991-05-01), Rudak
patent: 5016096 (1991-05-01), Matsunawa et al.
patent: 5048099 (1991-09-01), Lee
patent: 5048109 (1991-09-01), Bloomberg et al.
patent: 5138465 (1992-08-01), Ng et al.
Shibanishi et al. "Optical Character Reader Corresponding to Color" JP 04-130978 Translation.
Tag Image File Format Specification Revision 5.0 by Aldus Corporation, 1987 and 1988.
Resumix brochure by Resumix Inc.
Chang Jon
Harrington Curtis L.
Razavi Michael T.
LandOfFree
Optical character classification does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Optical character classification, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optical character classification will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-1979643