Image analysis – Pattern recognition – Unconstrained handwriting
Reexamination Certificate
2005-03-16
2010-06-01
Chawan, Sheela C (Department: 2624)
Image analysis
Pattern recognition
Unconstrained handwriting
C382S187000, C382S310000
Reexamination Certificate
active
07729541
ABSTRACT:
A method is provided for converting a two-dimensional image or bitmap of a handwritten manuscript into three-dimensional data The three-dimensional data can be used to automatically recognize features of the manuscript, such as characters or words. The method includes the steps of: converting the two-dimensional image into three-dimensional volumetric data; filtering the three-dimensional volumetric data; and processing the filtered three-dimensional volumetric data to resolve features of the two-dimensional image. The method can be used, for example, to differentiate between ascenders, descenders, loops, curls, and endpoints that define the overall letter forms in handwritten text, manuscripts or signatures.
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patent: 6445820 (2002-09-01), Love
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patent: 2002/0114508 (2002-08-01), Love
Femiani John
Razdan Anshuman
Arizona Board of Regents, A Body Corporate, Acting for and on Be
Chawan Sheela C
Oney Richard E.
Tiffany & Bosco, P.A.
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