Computer graphics processing and selective visual display system – Computer graphics processing – Character generating
Reexamination Certificate
2007-06-27
2010-10-26
Lay, Michelle K (Department: 2628)
Computer graphics processing and selective visual display system
Computer graphics processing
Character generating
C345S467000, C345S660000, C345S665000
Reexamination Certificate
active
07821515
ABSTRACT:
A method is provided for reducing a height of a font character in a nonlinear scaling process. The method includes reducing the height of the character by interacting with hinting instruction to adjust relevant instructions to thereby reduce the overall height of a font character while preserving as much of the integrity of the character as possible. The method includes an iterative process which selectively removes various pixels, defining an outline of a font character while maintaining a removal criteria, which results in a nonlinear height reduction in order to produce a font of a desired height.
REFERENCES:
patent: 4517604 (1985-05-01), Lasher et al.
patent: 6927773 (2005-08-01), Momozono et al.
patent: 2004/0227771 (2004-11-01), Arnold et al.
patent: 2005/0062758 (2005-03-01), Kaasila et al.
patent: 2005/0219248 (2005-10-01), Arnold et al.
patent: 2006/0017733 (2006-01-01), Matskewich et al.
Cho, Peter Sungil, “Computational Models for Expressive Dimensional Typography,” Masters Degree Thesis submitted to the School of Architecture and Planning, Massachusetts Institute of Technology, Jun. 1999, pp. 1-84.
Fish & Richardson P.C.
Lay Michelle K
Monotype Imaging Inc.
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