This is neat.

>Potential fields for usage include font design and machine learning.

Am I correct that this scheme doesn't capture stroke info? I think that would be needed for fonts / handwriting recognition. Fonts have serifs / varying brush widths depending on stroke order and direction. Hand-drawn characters can also look quite different from the printed form (angles of strokes, two consecutive strokes being drawn without lifting the pen even though the printed form has two separate lines, etc).

Edit: As an example, 人 is defined as 257 which is certainly how it appears in print. However it is usually hand-written as something closer to 357, with 37 being the first stroke and 5 being the second. https://www.tanoshiijapanese.com/dictionary/stroke_order_det...