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Handwritten Text Recognition datasets

archive 2025-07-28

14 datasets carry the task tag "Handwritten Text Recognition" (the task itself: Handwritten Text Recognition), ordered by the archive's paper count. Page 1 of 1: 14 shown of 14. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Handwritten Text Recognition datasets 1–14 of 14

IAM (IAM Handwriting)
The IAM database contains 13,353 images of handwritten lines of text created by 657 writers.
198 papers · 1 benchmark
READ2016(line-level) (Line-level Handwritten Text Recognition on READ 2016)
This dataset arises from the READ project (Horizon 2020).
6 papers · 1 benchmark
IAM(line-level) (Line-level Handwritten Text Recognition on IAM)
The IAM database contains 13,353 images of handwritten lines of text created by 657 writers.
5 papers · 1 benchmark
READ 2016 (HTR Dataset ICFHR 2016)
This dataset arises from the READ project (Horizon 2020).
5 papers · 1 benchmark
Bentham (Bentham project)
Bentham manuscripts refers to a large set of documents that were written by the renowned English philosopher and reformer Jeremy Bentham (1748-1832).
4 papers · 1 benchmark
HKR (Handwritten Kazakh and Russian (HKR) Database for Text Recognition)
The database is written in Cyrillic and shares the same 33 characters.
4 papers · 1 benchmark
LAM(line-level) (The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition)
Handwritten Text Recognition (HTR) is an open problem at the intersection of Computer Vision and Natural Language Processing.
4 papers · 1 benchmark
Digital Peter is a dataset of Peter the Great's manuscripts annotated for segmentation and text recognition.
3 papers · 1 benchmark
BN-HTRd (BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR))
We introduce a new Dataset (BN-HTRd) for offline Handwritten Text Recognition (HTR) from images of Bangla scripts comprising words, lines, and document-level annotations.
2 papers · 2 benchmarks
SIMARA (SIMARA: a database for key-value information extraction from full-page handwritten documents)
Description We propose a new database for information extraction from historical handwritten documents.
2 papers · 2 benchmarks
Saint Gall dataset contains handwritten historical manuscripts written in Latin that date back to the 9th century.
2 papers · 1 benchmark
Belfort (The Belfort dataset: Handwritten Text Recognition from Crowdsourced Annotations)
The Belfort dataset This dataset includes minutes of Belfort municipal council drawn up between 1790 and 1946.
1 paper · 1 benchmark
MatriVasha: (MatriVasha: Compound Character atasetD)
MatriVasha the largest dataset of handwritten Bangla compound characters for research on handwritten Bangla compound character recognition.
1 paper · 0 benchmarks
The Burmese Handwritten Digit Dataset (BHDD) is a dataset project specifically created for recognizing handwritten Burmese digits.
0 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.