DotMatrix Font | (Holloway) Chew, Kean Ho's Creative Visuals

DotMatrix is a function-oriented font designed by The DotMatrix Project Team. It was inspired by the dot matrix printers of the 1980s, capturing the essence of the printing technologies from that era. This font includes characters featuring:

Full set from the Epson FX-80 printer; AND
DOS code page 437; AND
Google Fonts Latin Core; AND
Greek Core; AND
Cyrillic Core; AND
Hebrew.

This font's italic subset is limited to 191 characters due to historical constraints. It has dot jittering effect for authentically simulating the inaccuracy of the printing head. The font structures are mapped as follows:

Epson FX-80 Mode	DotMatrix Font Family
Pica	DotMatrix
Elite	DotMatrix Expanded
Compressed	DotMatrix Condensed
Expanded Pica	DotMatrix Duo
Expanded Elite	DotMatrix Duo Expanded
Expanded Compressed	DotMatrix Duo Condensed
Emphasized Pica	DotMatrix Duo UltraCondensed
Emphasized Expanded Pica	DotMatrix Quad

Double-strike - represented by the Bold style.
Italic - corresponds to the Italic style.
Proportional mode - mapped to the respective Var font families.
(Variable Font Axes) Element Size - adjusts the dot strength.
(Variable Font Axes) Horizontal Element Spacing - modifies the font width.
True Scale - use 10pt text size.

It's perfect for evoking a retro or nostalgic feel, rendering ASCII/ANSI art, or use within code editors.

Verifying Content Integrity

To secure the content from unauthorized modification by anyone down to 0-1 bit level, all documents and text are cryptographically signed using one or more cryptography tools such as but not limited to:

GnuPG; AND/OR
OpenSSL.

The public key and the associated certificate are attached. Only I keep and maintain the private keys. To verify the content's integrity:

GnuPG

Install GnuPG software if not present.
Download the target file and its detached signature file (the .asc file with the same filename).
Download the public key file (.gpg).
Place them next to each other in the directory.
Open a terminal and execute the following command:

$ gpg --no-default-keyring --keyring /path/to/public.gpg --verify /path/to/file.asc

OpenSSL

Install OpenSSL software if not present.
Download the target file and its detached signature file (the .sig/.sign file with the same filename).
Download the public certificate file (.pem) containing the public key within.
Place them next to each other in the directory.
Open a terminal and execute the following command:

$ openssl dgst -verify /path/to/pubkey.pem -signature /path/to/file.sig /path/to/file

Artificial Intelligence (A.I.) Decrees

Caution

Note to Maintainers: Update each sub-section here matching the project’s specifications from time-to-time especially between releases.

This decree defines the project’s policy on the use of Artificial Intelligence. The following sections list data lifecycle activities and indicate whether A.I. is deployed. Unless explicitly stated otherwise (e.g. deployment with specifics), A.I. is not used for these tasks.

Data Sourcing & Acquisition

Note

Example activities:

Performing enhanced web searches due to search engine pollution by A.I. slop contents.
Performing completely auto-generated media such as but not limited to images, videos, and audios.

Multiple Large Language Model (LLM) A.I.s as the search engine for searching research materials across the Internet due to massive unwanted A.I publication slops.
One or more LLM A.I.s as the grammar and language corrector and enhancer for superpervised improvement against human written content.
One or more Transformer-based Diffusion Model A.I.s for generative image creation.

Data Processing & Transformation

Note

Example activities:

Performing multi-steps process development.
Performing data sanitization like data cleaning and data deduplication.
Performing data format compatibility conversion.
Constructing and optimizing data processing libraries.
Upscaling an image with neural network not achievable with conventional image manipulation technologies.

One or more Convolutional Neural Network (CNN) A.I.s used for upscaling one or more images for proper editing.

Data Storage & Security

Note

Example activities:

Performing security and threat detection.
Performing Data at Rest encryption and health monitoring.
Performing encryption data storage management.
Performing automated data storage house-keeping.
Performing data storage devices health monitoring and mitigation.

No deployment.

Data Analysis & Insight Generation

Note

Example activities:

Performing multi-steps data analytics.
Performing pattern detection and recognition.
Developing predictive modelling.
Developing natural language queries models.
Creating artificial intelligence's neural network models based on data feeds.
Optimizing artificial intelligence's transfer learning, hyperparameter tuning, etc.

No deployment.

Data Quality Validation & Assurances

Note

Example activities:

Performing end-user use case simulated testings.
Performing automated sanity testings.
Performing penetration & security testings.
Performing anomaly detection testings.
Performing schema validations.
Performing automated testing of data pipelines.

No deployment.

Data Visualization & Reporting

Note

Example activities:

Performing data graphical visualization creation based on data feeds.
Performing summarized dashboarding with graphical design and data feeds.
Performing report writing.
Performing prediction projections.

No deployment.

Data Governance & Compliance

Note

Example activities:

Performing personal identifiable information (PII) filtration and removal.
Performing regulatory compliance checks (e.g., data filtration, censorship, removal as required by law).
Performing compliance monitoring and validation.
Performing data lineage tracking and analysis.
Performing data audit trail analysis.

No deployment.

Data Sharing & Publication

Note

Example activities:

Performing document's metadata creation.
Performing document translation.
Processing data publication licensing and management.

No deployment.

Maintainers' Notes

Font files are binary objects which are unsuitable for git commits. Use git tag and releases strategy for version control instead. Only keep the git repository for font metadata and display purposes.

DO NOT use git-lfs due to ambiguous storage allocation policies from git service providers.

All fonts MUST be strictly licensed under Open Font License. Some designers modify the license terms arbitrarily without taking its legal consequences into account (e.g. trademarking the font). Hence, DO NOT commit to those fonts to completely avoid downstream having to "use with fear".

For software supply chain, to guarentee the thumbnail generation IS NOT vendor-locked by any expensive or proprietary software, please ONLY USE AND SUPPORT open source image editing software specifically as follows:

Inkscape (https://inkscape.org) - for vector graphics maintenances and exporting SVG plain vector files.

For directory organizations:

The principal canvas MUST BE SAVED in inkscape SVG format and retain all legal attributes (license, copyright, etc). The files MUST HAVE inkscape- prefixes to avoid confusion. They are saved inside /Pictures/principal-canvas directory.
The exported svg MUST BE IN Plain SVG format and retain all legal attributes (license, copright, etc). The files MUST NOT HAVE inkscape- prefixes. They are saved inside /Pictures directory.
The exported svg's text fields MUST BE converted into path data type and then union into a single foreground path layer. This is to make sure end-user can view the sample without needing to pre-setup the font files.

For artificial intelligence:

ONLY USE for internal research or Internet searches internally.
Any automated or "vibe" output commitments are STRICTLY PROHIBITED.
- This is a simple artifact re-distribution project. DO NOT LET ANY A.I. near any of your code and files commitment.
- If you sign-off any A.I. commitment, YOU WILL BE HELD FULLY LIABLE FOR ALL ITS CONCEQUENCES.
- Therefore: STRICTLY HUMAN COMMITMENT.
Use of passive A.I. (e.g. image upscaling) is rare to none since the thumbnail graphic materials MUST be in its vectorized form.

License

This entire repository is licensed under Creative Commons Attribution 4.0 International License. To ensure better understanding of this license, the following sub-sections will briefly describe how to deploy the content.

For registered non-profit organizations (NGO), you are considered a Commercial Entity the same as any for-profit organization by default. However, you will be eligible for the NGO disbursement grant and receive exception privileges from the creator(s).

Attribution

Attribution is OPTIONAL. Whenever required, you MUST attribute back to the creator(s) as follows:

Title: DotMatrix Font
Creators: The Tiny5 Project Team
Packaged-By: (Holloway) Chew, Kean Ho
Contact: hello@chewkeanho.com
SKU: chewkeanho-visuals-fonts-dotmatrix
UUID: D6F59524-A81C-4650-B497-72A832E26AB7
License: SIL Open Font License (http://scripts.sil.org/OFL)
Repository Made On: 2026-03-23
Repository Made From: Malaysia, South East Asia
Procure: https://github.com/ChewKeanHo/visuals-fonts-dotmatrix

Ownership - Personal

Note

This targets any customer wanting to own a copy of the content and then only he/she is using it without sharing with any 3rd-party entity; AND WITHOUT any monetary intention such as but not limited to:

Saving a local copy and then viewing via his/her own mobile device(s); OR
Saving a local copy and then viewing via his/her own personal computer; OR
Saving a local copy for artificial intelligence data training purposes.