Browse State-of-the-Art › HTR
HTR
40 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
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Most implemented papers archive 2025-07-28
30 shown of 40 papers with code (84 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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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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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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4 Apr 2018 3 repositories listedWe first investigate, for a reduced and fixed number of training samples, 350 lines, how the learning from a large database, the IAM, can be transferred to the learning of the CLC of a reduced database, Washington.
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13 Sep 2024 2 repositories listedTo address this limitation, we introduce a data-efficient ViT method that uses only the encoder of the standard transformer.
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13 Jun 2024 2 repositories listedWe present the Manuscripts of Handwritten Arabic~(Muharaf) dataset, which is a machine learning dataset consisting of more than 1, 600 historic handwritten page images transcribed by experts in archival Arabic.
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27 Nov 2023 2 repositories listedWe apply a Handwritten Text Recognition (HTR) model to this dataset to identify OCR errors, forming the basis for our POC model training.
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27 Feb 2025 1 repository listedExperiments on a multi-page version of the IAM Handwriting Database demonstrate that '+first page' improves transcription accuracy, balances cost with performance, and even enhances results on out-of-sample text by…
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20 Jan 2025 1 repository listedWe explore the ability of two LLMs -- GPT-4o and Claude Sonnet 3.
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2 Nov 2024 1 repository listedThis study demonstrates that Large Language Models (LLMs) can transcribe historical handwritten documents with significantly higher accuracy than specialized Handwritten Text Recognition (HTR) software, while being…
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11 Oct 2024 1 repository listedWe applied advanced computer vision techniques to develop the `Hespi' (HErbarium Specimen sheet PIpeline), which extracts a pre-catalogue subset of collection data on the institutional labels on herbarium specimens from…
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25 Sep 2024 1 repository listedWe introduce a general detection-based approach to text line recognition, be it printed (OCR) or handwritten (HTR), with Latin, Chinese, or ciphered characters.
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9 Sep 2024 1 repository listedHandwritten Text Generation (HTG) conditioned on text and style is a challenging task due to the variability of inter-user characteristics and the unlimited combinations of characters that form new words unseen during…
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4 Sep 2024 1 repository listedIn this work, we introduce three measures tailored for HTG evaluation, HTG_(HTR), HTG_(style), and HTG_(OOV), and argue that they are more expedient to evaluate the quality of generated handwritten images.
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17 Apr 2024 1 repository listedHandwritten text recognition has been developed rapidly in the recent years, following the rise of deep learning and its applications.
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28 Mar 2024 1 repository listed Syntology ran 14 of 15 samples · 1 unverifiedReferring Video Object Segmentation (R-VOS) methods face challenges in maintaining consistent object segmentation due to temporal context variability and the presence of other visually similar objects.
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19 Dec 2023 1 repository listedWe describe the project REE-HDSC and outline our efforts to improve the quality of named entities extracted automatically from texts generated by hand-written text recognition (HTR) software.
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6 Dec 2023 1 repository listedWhile existing neural network-based approaches have shown promising results in Handwritten Text Recognition (HTR) for high-resource languages and standardized/machine-written text, their application to low-resource…
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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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29 Mar 2023 1 repository listedOur proposed method is able to generate realistic word image samples from different writer styles, by using class index styles and text content prompts without the need of adversarial training, writer recognition, or…
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14 Jan 2023 1 repository listedThe evaluation of Handwritten Text Recognition (HTR) systems has traditionally used metrics based on the edit distance between HTR and ground truth (GT) transcripts, at both the character and word levels.
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15 Dec 2022 1 repository listedWe use a semantic module in an encoder-decoder framework for extracting global semantic information to recognize the Indic handwritten texts.
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29 Nov 2022 1 repository listedHTR models development has become a conventional step for digital humanities projects.
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1 Jun 2022 1 repository listedThe overall aim of this paper is to assess HTR for old Greek manuscripts.
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30 May 2022 1 repository listedIn addition to the Easter2.
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29 May 2022 1 repository listedOur line segmentation approach takes care of the variability involved in different writing styles, accurately segmenting complex handwritten text lines of curvilinear nature.
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21 Mar 2022 1 repository listedWe apply the TrOCR framework to real-world, historical manuscripts and show that TrOCR per se is a strong model, ideal for transfer learning.
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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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17 Jan 2022 1 repository listedThe evaluation of Handwritten Text Recognition (HTR) models during their development is straightforward: because HTR is a supervised problem, the usual data split into training, validation, and test data sets allows the…
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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…
Syntology lines on 2 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.
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