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

Showing 51100 of 1209 papers

TitleStatusHype
OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsCode2
GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image GenerationCode2
GIT: A Generative Image-to-text Transformer for Vision and LanguageCode2
GlyphControl: Glyph Conditional Control for Visual Text GenerationCode2
Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown ExtractionCode2
A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document UnderstandingCode2
MMLongBench-Doc: Benchmarking Long-context Document Understanding with VisualizationsCode2
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsCode2
Delivering Document Conversion as a Cloud Service with High Throughput and ResponsivenessCode2
Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text RecognitionCode2
MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K CategoriesCode2
MouSi: Poly-Visual-Expert Vision-Language ModelsCode2
Image-text matching for large-scale book collectionsCode1
Image-based table recognition: data, model, and evaluationCode1
Confidence-aware Non-repetitive Multimodal Transformers for TextCapsCode1
FUNSD: A Dataset for Form Understanding in Noisy Scanned DocumentsCode1
hmBERT: Historical Multilingual Language Models for Named Entity RecognitionCode1
CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing ModelsCode1
A Benchmark and Dataset for Post-OCR text correction in SanskritCode1
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API PredictionsCode1
Combining Morphological and Histogram based Text Line Segmentation in the OCR ContextCode1
Adapting OCR with limited supervisionCode1
Hespi: A pipeline for automatically detecting information from hebarium specimen sheetsCode1
Implicit Feature Alignment: Learn to Convert Text Recognizer to Text SpotterCode1
CLEval: Character-Level Evaluation for Text Detection and Recognition TasksCode1
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesCode1
German Parliamentary Corpus (GerParCor)Code1
GenKIE: Robust Generative Multimodal Document Key Information ExtractionCode1
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic RulesCode1
GenPlot: Increasing the Scale and Diversity of Chart Derendering DataCode1
Fused Text Recogniser and Deep Embeddings Improve Word Recognition and RetrievalCode1
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANsCode1
Geometry Restoration and Dewarping of Camera-Captured Document ImagesCode1
Graph Neural Networks and Representation Embedding for Table Extraction in PDF DocumentsCode1
Improving accuracy and speeding up Document Image Classification through parallel systemsCode1
FlowLearn: Evaluating Large Vision-Language Models on Flowchart UnderstandingCode1
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) SystemsCode1
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual PromptsCode1
Exploring Better Text Image Translation with Multimodal CodebookCode1
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video EnvironmentsCode1
Exploring Cross-Image Pixel Contrast for Semantic SegmentationCode1
BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from DocumentsCode1
bbOCR: An Open-source Multi-domain OCR Pipeline for Bengali DocumentsCode1
Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth EvaluationCode1
ClusterTabNet: Supervised clustering method for table detection and table structure recognitionCode1
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text RetrievalCode1
Easter2.0: Improving convolutional models for handwritten text recognitionCode1
A Comprehensive Gold Standard and Benchmark for Comics Text Detection and RecognitionCode1
EAST: An Efficient and Accurate Scene Text DetectorCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCRAccuracy (%)89.6Unverified
2DTrOCR 105MAccuracy (%)89.6Unverified
3MaskOCR-LAccuracy (%)82.6Unverified
4TransOCRAccuracy (%)72.8Unverified
5SRNAccuracy (%)65Unverified
6MORANAccuracy (%)64.3Unverified
7SEEDAccuracy (%)61.2Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4oAverage Accuracy76.22Unverified
2Gemini-1.5 ProAverage Accuracy76.13Unverified
3Claude-3 SonnetAverage Accuracy67.71Unverified
4RapidOCRAverage Accuracy56.98Unverified
5EasyOCRAverage Accuracy49.3Unverified
#ModelMetricClaimedVerifiedStatus
1STREETSequence error27.54Unverified
2SEESequence error22Unverified
3AttentionOCR_Inception-resnet-v2_LocationSequence error15.8Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-NOPOOLBLEU89.09Unverified
2I2L-STRIPSBLEU89Unverified
#ModelMetricClaimedVerifiedStatus
1TesseractCharacter Error Rate (CER)0.08Unverified
2EasyOCRCharacter Error Rate (CER)0.07Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-STRIPSBLEU88.86Unverified