While OpenType 1.8 introduced Variable Fonts, CAG-generated portable fonts take it further. They allow for axes of variation that standard variable fonts struggle with, such as changing serif styles or fluid interpolation between completely different character sets, all packed into a portable micro-library.
While the term "portable" isn't typically part of the paper's title, the research focuses on making font generation more efficient and adaptable. Key Concepts of the CAG Paper cag generated font portable
| Tool | Portability | Output Formats | Platform | |------|-------------|----------------|----------| | (portable version) | Yes (PortableApps.com) | TTF, OTF, SVG, BDF | Windows/Linux/Mac | | Bits'N'Picas | Yes (Java JAR) | Bitmap, TTF, FNT | Cross-platform | | BMFont (by AngelCode) | Portable option | .fnt + texture atlas | Windows | | MetaFont (TeX) | Portable (with basic TeX install) | GF, PK, TTF | Cross-platform | While OpenType 1
CAG-generated fonts, also known as algorithmically generated fonts, are created using complex algorithms and machine learning techniques. These fonts are designed to mimic the characteristics of traditional fonts, but with a unique twist. Unlike traditional fonts, which are created by human designers, CAG-generated fonts are produced by computers using mathematical equations and statistical models. This approach allows for a level of precision and consistency that is difficult to achieve with traditional font creation methods. Key Concepts of the CAG Paper | Tool
The main hurdle for CAG-generated portable fonts is adoption. Operating systems are built to read static tables (glyf, CFF). For these fonts to work, the "renderer" must travel with the font.
If "CAG" was a typo for (Web Content Accessibility Guidelines), the goal is to create fonts that are legible for all users. Portable, compliant fonts often include: