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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
Integrating Canonical Neural Units and Multi-Scale Training for Handwritten Text Recognition—0
HATFormer: Historic Handwritten Arabic Text Recognition with Transformers—0
Platypus: A Generalized Specialist Model for Reading Text in Various FormsCode0
Arabic Handwritten Text for Person Biometric Identification: A Deep Learning Approach—0
End-to-end information extraction in handwritten documents: Understanding Paris marriage records from 1880 to 1940—0
Revisiting N-Gram Models: Their Impact in Modern Neural Networks for Handwritten Text Recognition—0
Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition—0
GatedLexiconNet: A Comprehensive End-to-End Handwritten Paragraph Text Recognition System—0
Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition—0
Automatic Transcription of Handwritten Old Occitan LanguageCode0
Pipeline Enabling Zero-shot Classification for Bangla Handwritten Grapheme—0
A tailored Handwritten-Text-Recognition System for Medieval Latin—0
Handwritten Stenography Recognition and the LION DatasetCode0
ReLU and Addition-based Gated RNN—0
A Transformer-based Approach for Arabic Offline Handwritten Text Recognition—0
Writer adaptation for offline text recognition: An exploration of neural network-based methodsCode0
Handwritten Text Recognition Using Convolutional Neural Network—0
Handwritten Text Recognition from Crowdsourced Annotations—0
How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning—0
Large Scale Genealogical Information Extraction From Handwritten Quebec Parish Records—0
SIMARA: a database for key-value information extraction from full pages—0
An end-to-end, interactive Deep Learning based Annotation system for cursive and print English handwritten text—0
Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets—0
MSdocTr-Lite: A Lite Transformer for Full Page Multi-script Handwriting Recognition—0
CSSL-MHTR: Continual Self-Supervised Learning for Scalable Multi-script Handwritten Text Recognition—0
Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and RecognitionCode0
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
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
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 Paleographic Greek Text Recognition: A Century-Based ApproachCode0
Handwritten Text Recognition (HTR) for Irish-Language Folklore—0
Nunc profana tractemus. Detecting Code-Switching in a Large Corpus of 16th Century Letters—0
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
Improving Amharic Handwritten Word Recognition Using Auxiliary Task—0
Open Source Handwritten Text Recognition on Medieval Manuscripts using Mixed Models and Document-Specific Finetuning—0
Evaluation of HTR models without Ground Truth MaterialCode0
Handling Heavily Abbreviated Manuscripts: HTR engines vs text normalisation approaches—0
Recurrent neural network transducer for Japanese and Chinese offline handwritten text recognition—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