Browse State-of-the-Art › Font Recognition
Font Recognition
7 papers with code · 8 benchmarks · 10 datasets archive 2025-07-28
Font recognition (also called visual font recognition or optical font recognition) is the task of identifying the font family or families used in images containing text. Understanding which fonts are used in text may, for example, help designers find the right style, as well as help select an optical character recognition engine or model that is a better fit for certain texts.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
8 leaderboard tables shown for this task, 8 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| AdobeVFR syn (5 rows) | DeepFont (S) | DeepFont: Identify Your Font from An Image | code | — | Compare |
| AdobeVFR real (2 rows) | DeepFont (CAE_FR) | DeepFont: Identify Your Font from An Image | code | — | Compare |
| VFR-Wild (2 rows) | DeepFont (CAE_FR) | DeepFont: Identify Your Font from An Image | code | — | Compare |
| Explor_all (1 row) | HENet | HENet: Forcing a Network to Think More for Font Recognition | code | — | Compare |
| Persian Font Recognition (PFR) (1 row) | presis | Persis: A Persian Font Recognition Pipeline Using Convolutional... | code | — | Compare |
| Persian Text Image Segmentation (PTI SEG) (1 row) | presis | Persis: A Persian Font Recognition Pipeline Using Convolutional... | code | — | Compare |
| VFR-2420 (1 row) | LFE (FS, template model size 2048) | Large-Scale Visual Font Recognition | — | — | Compare |
| VFR-447 (1 row) | LFE (FS, template model size 2048) | Large-Scale Visual Font Recognition | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
10 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
7 shown of 7 papers with code (19 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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31 Mar 2025 1 repository listedModern Vision-Language Models (VLMs) exhibit remarkable visual and linguistic capabilities, achieving impressive performance in various tasks such as image recognition and object localization.
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8 Oct 2023 1 repository listedWhat happens if we encounter a suitable font for our design work but do not know its name?
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11 May 2023 1 repository listedMoreover, we developed a system using local font group recognition in order to combine the output of multiple font recognition models, and show that while slower, this approach performs better not only on text lines…
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21 Oct 2021 1 repository listedAlthough lots of progress were made in Text Recognition/OCR in recent years, the task of font recognition is remaining challenging.
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24 Jan 2020 1 repository listedMoreover, we analyzed the relationship between character classes and font identification accuracy.
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13 Mar 2016 1 repository listedTypography is a ubiquitous art form that affects our understanding, perception, and trust in what we read.
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12 Jul 2015 1 repository listedAs font is one of the core design concepts, automatic font identification and similar font suggestion from an image or photo has been on the wish list of many designers.
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