Bitstream Vera

Vera is a digital typeface (computer font) superfamily with a liberal license. It was designed by Jim Lyles from the now-defunct Bitstream Inc. type foundry, and it is closely based on Bitstream Prima, for which Lyles was also responsible. It is a TrueType font with full hinting instructions, which improve its rendering quality on low-resolution devices such as computer monitors. The font has also been repackaged as a Type 1 PostScript font, called Bera, for LaTeX users.[1]

Vera Sans
CategorySans-serif
ClassificationHumanist
Designer(s)Jim Lyles
FoundryBitstream Inc.
Date created2002
Also known asBera
Websitewww.gnome.org/fonts/
Metrically compatible withVerdana

Vera consists of serif, sans-serif, and monospace fonts. The Bitstream Vera Sans Mono typeface in particular is suitable for technical work, as it clearly distinguishes "l" (lowercase L) from "1" (one) and "I" (uppercase i), and "0" (zero) from "O" (uppercase o), in similar fashion as Verdana and Tahoma fonts.

Bitstream Vera Sans is also the default font used by the Python library Matplotlib to produce plots.[2]

Unicode coverage

Bitstream Vera itself covers only common punctuation and the Latin alphabet with some diacritics. It comprises only 300 glyphs.

Licensing and expansion

Bitstream Vera was released in 2003 with generous licensing terms and minimal restrictions that are nearly identical to those found in the Open Font License, which was not formalized until two years later. The main restrictions were a prohibition on reselling the fonts as a standalone product (though selling as part of a software package is acceptable), and that any derivative fonts not be distributed under the name "Vera" or use the Bitstream trademark.

The DejaVu fonts are a prominent expansion of the Bitstream Vera fonts.

gollark: "Compare" how? You'd need to fuzzy-match them somehow to deal with differences in compression or whatever.
gollark: - post all of them on reddit and see if someone says one is a repost of another
gollark: Some very rough ideas for how to detect similar images:- remove blank space at top/bottom/sides and do the rest of these- run OCR over the text and check for matches- split image up into chunks, reduce the color space a lot, count how many times each color appears, check for similar chunks in other images- run edge detection on them, get locations of edges, fuzzy matching of those- ML-based object detection?- some sort of locality-sensitive hashing for image data
gollark: Probably, but I don't know what software or have any idea how it works.
gollark: Or look at how the repost detection bots do it.

See also

References
  1. Rosenau, M; Schmidt, W. (2004-09-30). ""Bera" font pack for LaTeX".
  2. "Matplotlib fonts". 2017-03-14.


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.