Handwritten Text Recognition
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Benchmarks
IAM
LAM(line-level)
IAM(line-level)
READ2016(line-level)
Belfort
READ 2016
Bentham
Digital Peter
HKR
IAM-B
IAM-D
SIMARA
Saint Gall
Most implemented
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
Full Page Handwriting Recognition via Image to Sequence Extraction
Decoupled Attention Network for Text Recognition
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
HTR-VT: Handwritten Text Recognition with Vision Transformer
Papers
Measuring Annotation Efficiency for Handwritten Devanagari Recognition: Sample-Complexity Curves for Four Pretraining Regimes
To train handwritten text recognition systems we need word images and their corresponding transcriptions, and these transcriptions are produced manually. For a script that can be read by only a small number of specialist…
Handwritten Text RecognitionOmniHandwritingOCR: A Diagnostic Benchmark for Evaluating Multimodal LLMs in Handwritten OCR Scenarios
Multimodal large language models (MLLMs) are increasingly used as OCR systems in document and knowledge-processing pipelines, but their ability to faithfully read real handwriting remains underexplored. Existing OCR benc…
Handwritten Text RecognitionTrOCR for Medieval HTR: A Systematic Ablation Study with Cross-Dataset Validation
Fine-tuning transformer-based handwritten text recognition (HTR) models on medieval manuscripts is challenging because these models are pre-trained on modern text and must adapt to a very different visual domain. This pa…
Handwritten Text RecognitionData AugmentationPerformance Gap Analysis between Latin and Arabic Scripts HTR
Recent studies have shown that handwritten text recognition (HTR) systems perform worse on Arabic-script datasets than on Latin-script data. However, the reasons for this gap are still not well understood due to the lack…
Handwritten Text RecognitionUrdu Katib Handwritten Dataset: A Historical Document Dataset for Offline Urdu Handwritten Text Recognition with CRNN-Based Baseline Evaluation
Automatic Handwritten Text Recognition (HTR) is inherently a challenging task, and its complexity is further increased when dealing with cursive scripts. Although significant efforts have been made on various cursive scr…
Handwritten Text RecognitionHandwriting RecognitionA Text Recognition Dataset from Sahidic Coptic Ancient Manuscripts
In this work, we target Handwritten Text Recognition (HTR) in low-resource scenarios, which arise from underrepresented languages, rare scripts, and degraded visual conditions typical of historical documents. We introduc…
Handwritten Text Recognition