Image analysis – Image segmentation – Distinguishing text from other regions
Reexamination Certificate
2006-05-16
2006-05-16
Johns, Andrew W. (Department: 2621)
Image analysis
Image segmentation
Distinguishing text from other regions
C382S284000
Reexamination Certificate
active
07046848
ABSTRACT:
A deterministic finite automaton uses binary search (and optionally hashing) method(s) of sparse matrix representation to recognize the graphical representations of characters or icons from a bitmap representation of the computer screen. This recognition can be applied to translate data from an unknown form of original specification (file format) into a known form of representation, such as HTML. Alternatively this recognition can be applied to another process that can “see” what is on the screen, and perform programmed actions, based on what it “sees”.
REFERENCES:
patent: 5151950 (1992-09-01), Hullender
patent: 5321773 (1994-06-01), Kopec et al.
patent: 5704060 (1997-12-01), Del Monte
patent: 5768423 (1998-06-01), Aref et al.
patent: 5978801 (1999-11-01), Yuasa
patent: 6785677 (2004-08-01), Fritchman
patent: 6856981 (2005-02-01), Wyschogrod et al.
patent: 6880147 (2005-04-01), Pauly
patent: 6912526 (2005-06-01), Akaboshi
Alavi Amir
Bates David J.
Brzycki Lisa A.
Gehrke Lisa M.
Johns Andrew W.
LandOfFree
Method and system for recognizing machine generated... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and system for recognizing machine generated..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for recognizing machine generated... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3620726