Last time we looked at the blue zones. The other characteristic property of Latin fonts are the standard stem widths. Stems are the (basically) horizontal and (basically) vertical lines in a glyph. I.e. the glyph for ‘l’ normally has one vertical stem. In order to render glyphs smoothly, it must be assured that all stems are ‘snapped’ to approximately the same width (normally one pixel; unhinted glyphs tend to show 0 – 2 pixels instead).

So, in order to find out the standard width of the stems, we analyse the glyph for the character ‘o’ which proves to be very reliable for stem width detection. The diagram below shows how this glyph is represented as set of bezier points and control-points that ultimately span up the glyph.

Our algorithm first runs the local feature detection on this outline (explained later) which yields the segments of this glyph. Segments are sets of consecutive points that align approx. horizontally or vertically. The glyph ‘o’ below has 8 segments, each made up of 3 points. The local feature detection also ‘links’ pairs of segments to each other. Two linked segments form a stem. We have 4 stems in the ‘o’ glyph, which are highlighted in the diagram. Now it’s easy to get the standard stem widths, which is the distance between the segments that form the stems of our test glyph ‘o’.

BTW: If you don’t know what I’m talking about. I made two interesting screenshots that show how unhinted text is rendered. Left is without anti-aliasing (horrible) and right is with anti-aliasing (ok-ish but way to blurry). These screenshots are made with Classpath’s Java-only-TrueType implementation rendered with the Cairo backend.


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: