Because a Chinese, Japanese, or Korean typeface can consist of more than 20,000 glyphs, traditional scalable outline-based typefaces require approximately 10--14 megabytes (MB) of memory. This requirement is particularly problematic in mobile devices (e.g., cell phones and PDAs) and embedded systems (e.g., car navigation systems) where memory is at a premium. Existing commercial solutions (e.g., by Bitstream and Monotype Imaging) represent glyphs using simplified uniform-width strokes. However, these light-weight (∼1 MB) stroke-based fonts lack the detail, expressiveness, and variety needed for optimal legibility and true cultural acceptance.;This dissertation presents an improved representation for stroke-based fonts, entitled Stylized Stroke Fonts (SSFs). SSFs overcome the shortcomings of existing scalable font representations by providing the detail and expressiveness of outline typefaces with a memory footprint comparable to current uniform-width stroke typefaces. This reduced memory footprint facilitates the use of highly stylized typefaces on embedded devices and when transferring applets containing fonts over the internet. Furthermore, because creating a single CJK typeface from scratch requires multiple man-years of labor, this dissertation further presents a novel method for automatically converting conventional outline typefaces to SSFs so that a collection of SSFs can be generated to match the wide variety offered by outline typefaces.
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