Image analysis – Pattern recognition – Unconstrained handwriting
Reexamination Certificate
2004-01-06
2009-11-17
Mehta, Bhavesh M (Department: 2624)
Image analysis
Pattern recognition
Unconstrained handwriting
C382S119000
Reexamination Certificate
active
07620244
ABSTRACT:
Various computer-implemented methods are provided. One method for signature recognition includes identifying a vertical element of a signature and determining a tilt angle of the vertical element. Tilt angle is defined by a line that is approximately parallel to the vertical element. In addition, the method includes determining a tilt factor. Tilt factor is defined as a horizontal offset between the tilt angle and a reference tilt as a function of distance from a signature baseline. The method further includes altering the signature using the tilt factor and comparing the altered signature to known signature(s) to determine if the altered signature matches one of the known signature(s). Another method includes altering the signature using a predetermined tilt factor and comparing the altered signature to known signature(s). If the altered signature does not match one of the known signature(s), these steps may be repeated with different predetermined tilt factors.
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Daffer Kevin L.
Daffer McDaniel LLP
Huston Charles D.
Mehta Bhavesh M
Motion Computing, Inc.
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