Data processing: presentation processing of document – operator i – Presentation processing of document – Layout
Reexamination Certificate
2007-12-18
2007-12-18
Hong, Stephen (Department: 2178)
Data processing: presentation processing of document, operator i
Presentation processing of document
Layout
Reexamination Certificate
active
10346795
ABSTRACT:
Method and apparatus for removing lines of extraneous text from a document. Similarities are identified between lines of text on each page and corresponding lines on a selected subset of pages. Different weight values are associated with different line numbers of text on a page, each weight value indicating a degree of likelihood that a line of text contains extraneous text. One or more lines of text are selectively removed from a page as a function of the similarities and associated weight values of line numbers of the lines of text.
REFERENCES:
patent: 5937422 (1999-08-01), Nelson et al.
patent: 5971589 (1999-10-01), Hazama et al.
patent: 6006240 (1999-12-01), Handley
patent: 6256610 (2001-07-01), Baum
patent: 6304870 (2001-10-01), Kushmerick et al.
patent: 6336094 (2002-01-01), Ferguson et al.
patent: 6353840 (2002-03-01), Saito et al.
patent: 6470306 (2002-10-01), Pringle et al.
patent: 2001/0043741 (2001-11-01), Mahoney et al.
patent: 2002/0049787 (2002-04-01), Keely et al.
patent: 2003/0046263 (2003-03-01), Castellanos et al.
patent: 2003/0046280 (2003-03-01), Rotter et al.
patent: 2003/0152293 (2003-08-01), Bresler et al.
patent: 2003/0184804 (2003-10-01), Mastie et al.
patent: 2003/0225853 (2003-12-01), Wang et al.
patent: 2004/0205568 (2004-10-01), Breuel et al.
Hong Stephen
Queler Adam M.
LandOfFree
Removal of extraneous text from electronic documents does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Removal of extraneous text from electronic documents, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Removal of extraneous text from electronic documents will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3880901