Image analysis – Image transformation or preprocessing – Measuring image properties
Reexamination Certificate
2007-04-03
2007-04-03
Couso, Yon J. (Department: 2624)
Image analysis
Image transformation or preprocessing
Measuring image properties
C382S291000, C358S488000
Reexamination Certificate
active
10943310
ABSTRACT:
Detecting skew and determining skew angle using the front of a document by determining background-to-document transitions. Incoming scanlines are interval sampled in the fast scan direction every nth pixel. The samples are collected and organized into a two dimension array comprised of scanline based rows and interval based columns. The collected and organized samples are analyzed by intervals to determine a scanline (row) where a specified sampling condition exceeds predetermined threshold. The corresponding row-interval point forms a background-to-medium transition point of the edge of a document. When two or more background-to-medium transition points are found from different intervals the skew angle can be determined using linear regression.
REFERENCES:
patent: 5245676 (1993-09-01), Spitz
patent: 5355420 (1994-10-01), Bloomberg et al.
patent: 5528387 (1996-06-01), Kelly et al.
patent: 5697609 (1997-12-01), Wagner
patent: 5748334 (1998-05-01), Rees
patent: 5818976 (1998-10-01), Pasco et al.
patent: 6137989 (2000-10-01), Quesnel
patent: 6310984 (2001-10-01), Sansom-Wai et al.
patent: 6430320 (2002-08-01), Jia et al.
patent: 6741741 (2004-05-01), Farrell
patent: 6954290 (2005-10-01), Braudaway et al.
patent: 6983218 (2006-01-01), Ruiz et al.
Clingerman Terri A.
Li Xing
Couso Yon J.
Waites Michelle
Xerox Corporation
LandOfFree
Detecting skew angle in a scanned image does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Detecting skew angle in a scanned image, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detecting skew angle in a scanned image will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3801224