This Typeface’s Letters Are the Average of the World’s Handwriting
wired.com
wired.com
The letterforms are influenced by the dies from which they're cast, and are further worn and damaged with age, both softening the overall shape and introducing quirks to them. You'll find print from older books -- generally 19th century and prior, sometimes much prior, tend to look like this.
I like the effect.
I think a discussion around this post would be incomplete without reference to the font made from Dijkstra's beautiful and clear hand writing. http://lucacardelli.name/indexartifacts.html (search for Dijkstra) or if you prefer a pdf preview http://lucacardelli.name/Artifacts/Fonts/Dijkstra.pdf
I wonder if Ramanujam's handwriting has received similar treatment.
A sidenote: while searching for Dijkstra's font on Google had an experience that had but disappeared from my memory. It has been a while since I have been in a situation where I am unable to google to the the page that I know exists on the web. This is the second time in the week that I felt this, something afoot ? In any case wanted to find the letter to Dijkstra asking for permission to use his handwriting for a font.
I'm guessing they decided writing 26 letters was about the limit of the average attention span online - having to do it twice, along with 0-9 and a basket full of symbols probably would result in lots of incomplete forms.
Also of course, the idea that this is anywhere near "universal" is pretty silly...
WHAT DO YOU MEAN? WHO DOESN'T LOVE ALLCAPS? I DON'T NEED NUMBERS, EITHER. X EQUALS FIVE MILLION ONE HUNDRED EIGHTY SEVEN THOUSAND TWO HUNDRED NINETY NINE POINT ONE FIVE FIVE SIX THREE. SEE?
IT'S LIKE I'M WRITING IN COBOL. THIS IS FUN.
The most straightforward way to model the shapes themselves is to put some points on each letter in corresponding locations on each letter. Every sample of each letter would need the same number of points, and each point would need to be in roughly the same spatial location on the letter (so, for a letter S, the first point in every sample would be at one end, the last at the other, and the ones between at some kind of identifying landmarks).
Given these collections of sampled curves, the simplest thing to do is to just compute the Euclidean mean, treating each of them as a point in a high-dimensional space. You could go farther and do PCA, giving you not only a mean but modes of variation. Using this you could examine the most common ways in which each letter varies in the population, which can be an interesting thing to study.
What I've described is building a statistical shape model from a boundary point distribution model (PDM) of an object. This is typically done in the context where you want to fit your model to new instances of the object, not just for finding a mean, and are known as Active Shape Models. You can check it out on wikipedia (en.wikipedia.org/wiki/Active_shape_model). Here is one (among many possible choices) describing generally how this is done:
There are other techniques for representing the shapes or computing statistics that can produce better models, both from theoretical and practical points of view, but this is generally the most common and would be my first choice if I was going to do something like this. Of course, they could be doing something much simpler like a simple averaging of the images (assuming the letters are all in roughly the same place) as well.
Sorry if this sounds nosy, but I'm curious as to whether that would help avoid smudging more easily for people who are left handed (which I think I've heard can lead to avoiding certain types of pens?). (I personally am not left handed)
Of course, don't feel obligated to answer.