Image analysis – Pattern recognition – Unconstrained handwriting
Reexamination Certificate
2004-12-08
2009-10-20
Desire, Gregory M (Department: 2624)
Image analysis
Pattern recognition
Unconstrained handwriting
C345S173000, C345S442000, C345S443000, C382S187000, C382S202000, C715S863000
Reexamination Certificate
active
07606421
ABSTRACT:
In a method and system to extract data from handwritten information when the information is captured as sequences of strokes, vectors, or marks, temporal data is stored within the color or gray-scale encoding of pixel values within a bitmapped image. A bitmapped image is used to create a derived image suitable for data extraction and a method of analyzing the image, including the encoded temporal data, to yield an adjusted image that better reflects the intent of the person who created the handwriting. While the primary application of the invention is in processing handwritten responses to assessment items, the system and method can be advantageously used to extract data from or to improve the presentation of information from an electronic representation of temporal human marks in many applications. Additionally, the system and method can be advantageously used to store and process other types of data within a bitmapped image.
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CTB/McGraw-Hill LLC
Desire Gregory M
Rothwell, Figg Ernst & Manbeck, PC
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