SOTAVerified

Optical Character Recognition (OCR)

Optical Character Recognition or Optical Character Reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo, license plates in cars...) or from subtitle text superimposed on an image (for example: from a television broadcast)

Papers

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Showing 151–200 of 1209 papers

TitleStatusHype
AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited TranscriptionsCode1
Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the WildCode1
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationCode1
NAT: Noise-Aware Training for Robust Neural Sequence LabelingCode1
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text ImagesCode1
Data Generation for Post-OCR correction of Cyrillic handwritingCode1
A Large Multi-Target Dataset of Common Bengali Handwritten GraphemesCode1
Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical DocumentsCode1
Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question AnsweringCode1
CLEval: Character-Level Evaluation for Text Detection and Recognition TasksCode1
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesCode1
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of ExpertsCode1
LaTr: Layout-Aware Transformer for Scene-Text VQACode1
Detection of Furigana Text in ImagesCode1
Lexically Aware Semi-Supervised Learning for OCR Post-CorrectionCode1
A Multiplexed Network for End-to-End, Multilingual OCRCode1
DiT: Self-supervised Pre-training for Document Image TransformerCode1
Digitizing Historical Balance Sheet Data: A Practitioner's GuideCode1
bbOCR: An Open-source Multi-domain OCR Pipeline for Bengali DocumentsCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
LAMBERT: Layout-Aware (Language) Modeling for information extractionCode1
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document UnderstandingCode1
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video EnvironmentsCode1
DocParser: End-to-end OCR-free Information Extraction from Visually Rich DocumentsCode1
ClusterTabNet: Supervised clustering method for table detection and table structure recognitionCode1
Iranis: A Large-scale Dataset of Farsi License Plate CharactersCode1
Large Scale Font Independent Urdu Text Recognition SystemCode1
Efficient OCR for Building a Diverse Digital HistoryCode1
Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documentsCode1
Implicit Feature Alignment: Learn to Convert Text Recognizer to Text SpotterCode1
Improving accuracy and speeding up Document Image Classification through parallel systemsCode1
PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional NetworksCode1
Image-text matching for large-scale book collectionsCode1
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP TasksCode1
Indian Licence Plate Dataset in the wildCode1
Hespi: A pipeline for automatically detecting information from hebarium specimen sheetsCode1
DE-GAN: A Conditional Generative Adversarial Network for Document EnhancementCode1
Rerunning OCR: A Machine Learning Approach to Quality Assessment and Enhancement PredictionCode1
EAST: An Efficient and Accurate Scene Text DetectorCode1
Easter2.0: Improving convolutional models for handwritten text recognitionCode1
hmBERT: Historical Multilingual Language Models for Named Entity RecognitionCode1
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic RulesCode1
End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-NetCode1
Fused Text Recogniser and Deep Embeddings Improve Word Recognition and RetrievalCode1
A Deep Learning Approach to Geographical Candidate Selection through Toponym MatchingCode1
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from DocumentsCode1
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-LabelsCode1
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven ApproachCode1
A Comprehensive Gold Standard and Benchmark for Comics Text Detection and RecognitionCode1
CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing ModelsCode1
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All datasetsBenchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical StudyVideoDB's OCR Benchmark Public CollectionFSNS - TestI2L-140KSUTim2latex-100k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCRAccuracy (%)89.6—Unverified
2DTrOCR 105MAccuracy (%)89.6—Unverified
3MaskOCR-LAccuracy (%)82.6—Unverified
4TransOCRAccuracy (%)72.8—Unverified
5SRNAccuracy (%)65—Unverified
6MORANAccuracy (%)64.3—Unverified
7SEEDAccuracy (%)61.2—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4oAverage Accuracy76.22—Unverified
2Gemini-1.5 ProAverage Accuracy76.13—Unverified
3Claude-3 SonnetAverage Accuracy67.71—Unverified
4RapidOCRAverage Accuracy56.98—Unverified
5EasyOCRAverage Accuracy49.3—Unverified
#ModelMetricClaimedVerifiedStatus
1STREETSequence error27.54—Unverified
2SEESequence error22—Unverified
3AttentionOCR_Inception-resnet-v2_LocationSequence error15.8—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-NOPOOLBLEU89.09—Unverified
2I2L-STRIPSBLEU89—Unverified
#ModelMetricClaimedVerifiedStatus
1TesseractCharacter Error Rate (CER)0.08—Unverified
2EasyOCRCharacter Error Rate (CER)0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-STRIPSBLEU88.86—Unverified