A Tool that provides automatic kerning for ligature based OpenType fonts in Microsoft Volt

Related tags

General Utilitiesfontarabicfarsiurdukerningnastaliq
Overview

Kerning

A Tool that provides automatic kerning for ligature based OpenType fonts in Microsoft Volt

There are three stages of the algorithm.

  • The first stage is to process every single glyph image and extract the extents of the strokes in terms of height at several horizontal locations. The output can be plotted by plot_glyph_data in module heights
import source.heights as ht
ht.plot_glyph_data(LookUp,"path/to/glyph.png","glyph")

LookUp is a dictionary that is output of the stage 1 processing:

import source.ligature_kerning as lk
lk.process_stage_1()
  • LookUp is automatically saved in obj/ folder after the stage processing finishes.
  • Following are some examples of the output: Reh glyph or glyph flsvin glyph Red dots depict the bottom height of the glyph at a shift of 200 points. The green dots depict the same but from the top. The idea to check if any two glyphs would fit over each other for X amount of shift? Once the red dots from the left glyph can fit on top of the green dots of the right glyph, the kerning is possibble. Example: In the following example the two glyphs show can kern by 600 (3*200) units.
  • The second stage of processing is meant to calculate, for each 200 uints of horizontal shift how much glyphs will fit on top of it without collision. This data is stord is right collision list. Another scenario is caculate how many glyphs can this particular glyph fit on top of, for each shift of 200 uints. This part is most intensive calculation wise as it has O(N^2) complexity.
  • The last stage of processing is to form groups of glyphs based on collision data (output of stage 2) and the glyph height data (output of stage 1) in order to generate volt files (that can be used to implement kerning in OpenType fonts.)

Prerequisites

Development environment

Latest versions of the following packages are recommended:

  • Python 3.6 or higher
  • NumPy
  • OpenCv
  • Matplotlib

Glyph setup

Ligatures/Glyphs should be contained in a base directory (e.g. C:/Ligatures) having the following sub-directories (in PNG format):

  • Ligatures_Regular This directory contains all the multi character glyph e.g. sbb (سبب), slslo (سلسلہ), etc.
  • Haroof_Regular This Directory contains all the haroof (alphabets) glyph images in PNG format
  • Symbols This directory contains all the symbols like parenthesis, period, commas, etc.
  • Ligatures_Kashida This directory contains kasheeda (italicised or elongated) glyphs
  • Haroof_Kashida This directory contains kasheeda alphabets

Assumptions about input images

We assume that the glyphs are 2048 upm and the PNG Images generated are 300 dpi. This setting roughly gives image height of ~750 pixels.

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Releases(v0.1)

  • v0.1(Sep 18, 2021)

    This is a stable release. Tested for different Nastaliq font types (Dehlavi and Lahori)

    Please use 1000+ ligatures for correct processing. If the ligatures are very few, please change the thresholds in source/settings.txt file.

    Source code(tar.gz)
    Source code(zip)

  • v0.0.5(Sep 14, 2021)

  • v0.0.4(Sep 9, 2021)

    1. Haroof kerning fix for Lahoori Nastaleeq fonts.
    2. General Improvements to kerning
    3. Settings file change.
    4. Group formation made more general (less dependent on user input/settings file)
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    Source code(zip)

  • v0.0.3(Sep 5, 2021)

    This release targets a few bug fixes as well as the following changes:

    1. Settings file was not taking effect, this bug has been fixed.
    2. Group formation was erroneous for the lowest group, giving rise to the exclusion of lowest height glyphs. The fix has been made.
    3. The height limit for input images has been widened due to feedback from users (as some Lahori Nastaleeq fonts can go up to 1200 pixels high)
    4. To ensure the baseline is the same for all glyphs, there is an additional check to ensure all input images are of the same height.
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    Source code(zip)

  • v0.0.2(Aug 30, 2021)

    First release mainly for windows users (as it is used to generate VOLT files, which is a Windows tool). Code has been tested on Windows 10. BAT files are added to make life easy for users who are not well versed in Python.

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Owner
Sayed Zeeshan Asghar
Sayed Zeeshan Asghar
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