SOTAVerified

Handwritten Text Recognition

Handwritten Text Recognition (HTR) is the task of automatically identifying and transcribing handwritten text from images or scanned documents into machine-readable text. The goal is to develop a system capable of accurately interpreting diverse handwriting styles, accounting for variations in alignment, stroke, spacing, and noise. This task involves detecting handwritten regions within an image, extracting the text content, and converting it into a structured digital format, enabling further search, indexing, or data analysis.

Papers

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Showing 51–100 of 139 papers

TitleStatusHype
A Study of Augmentation Methods for Handwritten Stenography Recognition—0
Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document RecognitionCode0
End-to-End Page-Level Assessment of Handwritten Text RecognitionCode0
Towards Robust Handwritten Text Recognition with On-the-fly User Participation—0
Enhancing Indic Handwritten Text Recognition Using Global Semantic InformationCode1
The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique—0
DARE: A large-scale handwritten date recognition system—0
Towards End-to-end Handwritten Document RecognitionCode1
A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts—0
Lexicon and Attention based Handwritten Text Recognition System—0
Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions—0
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition—0
2D Self-Organized ONN Model For Handwritten Text Recognition—0
A Lexicon and Depth-wise Separable Convolution Based Handwritten Text Recognition System—0
Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation—0
Handwritten Text Recognition (HTR) for Irish-Language Folklore—0
Handwritten Paleographic Greek Text Recognition: A Century-Based ApproachCode0
Nunc profana tractemus. Detecting Code-Switching in a Large Corpus of 16th Century Letters—0
Easter2.0: Improving convolutional models for handwritten text recognitionCode1
BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line SegmentationCode0
A Comprehensive Handwritten Paragraph Text Recognition System: LexiconNet—0
Content and Style Aware Generation of Text-line Images for Handwriting Recognition—0
DAN: a Segmentation-free Document Attention Network for Handwritten Document RecognitionCode1
Improving Amharic Handwritten Word Recognition Using Auxiliary Task—0
AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder NetworksCode1
Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning—0
Evaluation of HTR models without Ground Truth MaterialCode0
Continuous Offline Handwriting Recognition using Deep Learning ModelsCode1
Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask ArchitectureCode1
Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-PrefixesCode1
KOHTD: Kazakh Offline Handwritten Text DatasetCode1
TrOCR: Transformer-based Optical Character Recognition with Pre-trained ModelsCode1
StackMix and Blot Augmentations for Handwritten Text RecognitionCode1
Few Shots Are All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwritten Text RecognitionCode1
Handling Heavily Abbreviated Manuscripts: HTR engines vs text normalisation approaches—0
Recurrent neural network transducer for Japanese and Chinese offline handwritten text recognition—0
Handwritten Digit Recognition using Machine and Deep Learning Algorithms—0
Enhance to Read Better: A Multi-Task Adversarial Network for Handwritten Document Image EnhancementCode0
LineCounter: Learning Handwritten Text Line Segmentation by CountingCode1
SmartPatch: Improving Handwritten Word Imitation with Patch DiscriminatorsCode1
One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition—0
TextAdaIN: Paying Attention to Shortcut Learning in Text RecognizersCode1
Rethinking Text Line Recognition Models—0
MetaHTR: Towards Writer-Adaptive Handwritten Text RecognitionCode1
Digital Peter: Dataset, Competition and Handwriting Recognition MethodsCode1
Full Page Handwriting Recognition via Image to Sequence ExtractionCode2
Urdu Handwritten Text Recognition Using ResNet18—0
SPAN: a Simple Predict & Align Network for Handwritten Paragraph RecognitionCode0
Classification of Handwritten Names of Cities and Handwritten Text Recognition using Various Deep Learning ModelsCode1
Applications of Machine Learning in Document Digitisation—0
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All datasetsIAMLAM(line-level)IAM(line-level)READ2016(line-level)BelfortREAD 2016BenthamDigital PeterHKRIAM-BIAM-DSaint Gall

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transformer w/ CNNCER7.62—Unverified
2FPHR Paragraph Level (~145 dpi)CER6.7—Unverified
3Leaky LP CellCER6.6—Unverified
4FPHR+Aug Line Level (~145 dpi)CER6.5—Unverified
5Start, Follow, ReadCER6.4—Unverified
6Decouple Attention NetworkCER6.4—Unverified
7FPHR+Aug Paragraph Level (~145 dpi)CER6.3—Unverified
8Easter2.0CER6.21—Unverified
9HTR-VT(line-level)CER4.7—Unverified
10Transformer w/ CNN (+synth)CER4.67—Unverified
#ModelMetricClaimedVerifiedStatus
1GFCNTest CER5.2—Unverified
2TrOCRTest CER3.6—Unverified
3OrigamiNet-18Test CER3.1—Unverified
4OrigamiNet-12Test CER3.1—Unverified
5OrigamiNet-24Test CER3—Unverified
6HTR-VTTest CER2.8—Unverified
#ModelMetricClaimedVerifiedStatus
1GFCNTest CER8—Unverified
2OrigamiNet-12Test CER6—Unverified
3VANTest CER5—Unverified
4HTR-VTTest CER4.7—Unverified
5TrOCRTest CER3.4—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN + BLSTMTest CER4.7—Unverified
2SpanTest CER4.6—Unverified
3DANTest CER4.1—Unverified
4VANTest CER4.1—Unverified
5HTR-VTTest CER3.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PyLaia (human transcriptions + random split)CER (%)10.54—Unverified
2PyLaia (human transcriptions + agreement-based split)CER (%)5.57—Unverified
3PyLaia (rover consensus + agreement-based split)CER (%)4.95—Unverified
4PyLaia (all transcriptions + agreement-based split)CER (%)4.34—Unverified
#ModelMetricClaimedVerifiedStatus
1HTR-VT(line-level)CER (%)3.9—Unverified
2DANCER (%)3.22—Unverified
#ModelMetricClaimedVerifiedStatus
1StackMix+BlotsCER1.73—Unverified
#ModelMetricClaimedVerifiedStatus
1StackMix+BlotsCER2.5—Unverified
#ModelMetricClaimedVerifiedStatus
1StackMix+BlotsCER3.49—Unverified
#ModelMetricClaimedVerifiedStatus
1StackMix+BlotsCER3.77—Unverified
#ModelMetricClaimedVerifiedStatus
1StackMix+BlotsCER3.01—Unverified
#ModelMetricClaimedVerifiedStatus
1StackMix+BlotsCER3.65—Unverified
#ModelMetricClaimedVerifiedStatus
1DANCER (%)6.46—Unverified