Character generation under grid constraints
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Model-based matching and hinting of fonts
Proceedings of the 18th 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
Learning style translation for the lines of a drawing
ACM Transactions on Graphics (TOG)
Constraint-based approach for automatic hinting of digital typefaces
ACM Transactions on Graphics (TOG)
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
NPAR '12 Proceedings of the Symposium on Non-Photorealistic Animation and Rendering
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Hinting in TrueType is a time-consuming manual process in which a typographer creates a sequence of instructions for better fitting the characters of a font to a grid of pixels. In this paper, we propose a new method for automatically hinting TrueType fonts by transferring hints of one font to another. Given a hinted source font and a target font without hints, our method matches the outlines of corresponding glyphs in each font, and then translates all of the individual hints for each glyph from the source to the target font. It also translates the control value table (CVT) entries, which are used to unify feature sizes across a font. The resulting hinted font already provides a great improvement over the unhinted version. More importantly, the translated hints, which preserve the sound, hand-designed hinting structure of the original font, provide a very good starting point for a professional typographer to complete and fine-tune, saving time and increasing productivity. We demonstrate our approach with examples of automatically hinted fonts at typical display sizes and screen resolutions. We also provide estimates of the time saved by a professional typographer in hinting new fonts using this semi-automatic approach.