Model-based matching and hinting of fonts
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Font rasterization: the state of the art
Visual and technical aspects of type
Example-based hinting of true type fonts
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Visual True Type: A Graphical Method for Authoring Font Intelligence
EP '98/RIDT '98 Proceedings of the 7th International Conference on Electronic Publishing, Held Jointly with the 4th International Conference on Raster Imaging and Digital Typography: Electronic Publishing, Artistic Imaging, and Digital Typography
Feature-Based Design of Fonts Using Constraints
EP '98/RIDT '98 Proceedings of the 7th International Conference on Electronic Publishing, Held Jointly with the 4th International Conference on Raster Imaging and Digital Typography: Electronic Publishing, Artistic Imaging, and Digital Typography
Scalable realtime glyph rendering on consumer level graphics hardware: a hybrid approach
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Hi-index | 0.00 |
The rasterization process of characters from digital outline fonts to bitmaps on displays must include additional information in the form of hints beside the shape of characters in order to produce high quality bitmaps. Hints describe constraints on sizes and shapes inside characters and across the font that should be preserved during rasterization. We describe a novel, fast and fully automatic method for adding those hints to characters. The method is based on identifying hinting situations inside characters. It includes gathering global font information and linking it to characters, defining a set of constraints, sorting them, and converting them to hints in any known hinting technology (PostScript, TrueType or other). Our scheme is general enough to be applied on any language and on complex scripts such as Chinese Japanese and Korean. Although still inferior to expert manual hinting, our method produces high quality bitmaps which approach this goal. The method can also be used as a solid base for further hinting refinements done manually.