Browse State-of-the-Art › Handwriting Recognition
Handwriting Recognition
53 papers with code · 3 benchmarks · 22 datasets archive 2025-07-28
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 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 |
|---|---|---|---|---|---|
| KOHTD (4 rows) | Flor | KOHTD: Kazakh Offline Handwritten Text Dataset | code | — | Compare |
| An extensive dataset of handwritten central Kurdish isolated characters (1 row) | KHCR | Kurdish Handwritten Character Recognition using Deep Learning Techniques | code | — | Compare |
| BanglaLekha Isolated Dataset (1 row) | AKHCRNet | AKHCRNet: Bengali Handwritten Character Recognition Using Deep Learning | code | — | 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
22 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 53 papers with code (173 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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13 Mar 2015 17 repositories listedSeveral variants of the Long Short-Term Memory (LSTM) architecture for recurrent neural networks have been proposed since its inception in 1995.
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12 Jun 2020 8 repositories listedOn IAM we even surpass single line methods that use accurate localization information during training.
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11 Mar 2021 5 repositories listedWe present a Neural Network based Handwritten Text Recognition (HTR) model architecture that can be trained to recognize full pages of handwritten or printed text without image segmentation.
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22 Mar 2013 5 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedRecurrent neural networks (RNNs) are a powerful model for sequential data.
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14 May 2007 4 repositories listed Syntology ran 1 of 23 samples · 22 unverifiedRecurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition.
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23 Mar 2020 3 repositories listed Syntology ran 2 of 15 samples · 13 unverifiedThis is especially true for handwritten text recognition (HTR), where each author has a unique style, unlike printed text, where the variation is smaller by design.
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29 May 2015 3 repositories listedRecurrent neural networks (RNNs) are connectionist models that capture the dynamics of sequences via cycles in the network of nodes.
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22 Sep 2014 3 repositories listed Syntology ran 0 of 2 samples · 2 unverifiedConvolutional neural networks (CNNs) perform well on problems such as handwriting recognition and image classification.
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16 Mar 2021 2 repositories listedThis paper presents a new dataset of Peter the Great's manuscripts and describes a segmentation procedure that converts initial images of documents into the lines.
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12 Nov 2019 2 repositories listedIn this work, we investigate the application of trainable and spectrally initializable matrix transformations on the feature maps produced by convolution operations.
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18 Nov 2015 2 repositories listedRepresentations of the input segments (i.
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30 Jan 2025 1 repository listedFunctional data - observations in the form of curves or trajectories - arise in diverse domains such as biomedical sensing, motion capture, and handwriting recognition.
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12 Jul 2024 1 repository listedDespite this, these integrated approaches have not yet matched the performance of language models, when applied to information extraction in plain text.
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6 Sep 2023 1 repository listedOn-line handwritten character segmentation is often associated with handwriting recognition and even though recognition models include mechanisms to locate relevant positions during the recognition process, it is…
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11 Jul 2023 1 repository listedIn this paper, we explore how HTR models can be made writer adaptive by using only a handful of examples from a new writer (e.
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23 Jun 2023 1 repository listedMachine Learning (ML) has recently been a skyrocketing field in Computer Science.
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31 May 2023 1 repository listedHandwriting recognition remains challenging for some of the most spoken languages, like Bangla, due to the complexity of line and word segmentation brought by the curvilinear nature of writing and lack of quality…
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16 Dec 2022 1 repository listedProminent work has been done in this field focusing mainly on Latin characters.
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5 Dec 2022 1 repository listedThis paper explores semi-supervised training for sequence tasks, such as Optical Character Recognition or Automatic Speech Recognition.
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10 Nov 2022 1 repository listedRecognizing handwriting images is challenging due to the vast variation in writing style across many people and distinct linguistic aspects of writing languages.
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18 Oct 2022 1 repository listedFrom the experimental results, it is clear that the proposed deep learning model is performing well and is comparable to the similar model of other languages' handwriting recognition systems.
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30 Sep 2022 1 repository listedWe proposed an approach at the line level, based on a fully convolutional network, in order to design a first generic feature extraction step for the handwriting recognition task.
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14 Sep 2022 1 repository listedA wide range of applications from signature verification to electronic document processing can be realized by implementing efficient and accurate handwriting recognition algorithms.
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23 May 2022 1 repository listedWord-level handwritten optical character recognition (OCR) remains a challenge for morphologically rich languages like Bangla.
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28 Jan 2022 1 repository listedThese experiments show that STC can recover most of the performance of supervised baseline when up to 70% of the labels are missing.
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23 Jan 2022 1 repository listedThis work proposes an attention-based sequence-to-sequence model for handwritten word recognition and explores transfer learning for data-efficient training of HTR systems.
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26 Dec 2021 1 repository listedFor the design of this new model, an extensive analysis of the capabilities of different convolutional architectures in the simplified problem of isolated character recognition has been carried out in order to identify…
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22 Sep 2021 1 repository listedIn this regard, there is a need to implement Handwritten Text Recognition (HTR) which is an automatic way to decrypt records using a computer.
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2 Sep 2021 1 repository listedOur models are pre-trained on 13k hours of Vietnamese youtube audio (un-label data) and fine-tuned on 250 hours labeled of VLSP ASR dataset on 16kHz sampled speech audio.
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21 Jul 2021 1 repository listed Syntology ran 0 of 11 samples · 11 unverifiedSince this retraining would require annotation of thousands of handwritten symbols together with their bounding boxes, we propose to avoid such human effort through an unsupervised progressive learning approach that…
Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections