Image analysis – Image segmentation – Region labeling
Reexamination Certificate
2006-03-29
2008-12-02
Couso, Jose L (Department: 2624)
Image analysis
Image segmentation
Region labeling
Reexamination Certificate
active
07460710
ABSTRACT:
A computer-implemented method is provided for converting a scanned-in electronic image into a token-based file. The method includes generally five steps. First, various tokens (i.e., graphical units) are identified in the electronic image. Second, the identified tokens having similar shapes are classified together to form a token group, to thereby form multiple token groups, each including one or more tokens having similar shapes. Third, in each token group, a representative token is found, which morphologically represents the shapes of tokens included in the group. Fourth, each representative token is converted into a vectorized token, which is a mathematical representation of the shape of the representative token. Fifth, each of the vectorized tokens is associated with the positions of the tokens in the electronic image represented by the vectorized token. Thus, upon rendering, the vectorized token is displayed to thereby create a page image consisting only of clean images of vectorized tokens.
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Akalin Frederick Ziya Ramos
Coath Adam Brian
Goodwin Robert L.
Shagam Joshua
Amazon Technologies Inc.
Christensen O'Connor Johnson & Kindness PLLC
Couso Jose L
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