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 126150 of 1209 papers

TitleStatusHype
TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text RecognitionCode1
DocParser: End-to-end OCR-free Information Extraction from Visually Rich DocumentsCode1
TagGPT: Large Language Models are Zero-shot Multimodal TaggersCode1
Efficient OCR for Building a Diverse Digital HistoryCode1
ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic RulesCode1
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationCode1
A Comprehensive Gold Standard and Benchmark for Comics Text Detection and RecognitionCode1
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-LabelsCode1
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text ImagesCode1
A Benchmark and Dataset for Post-OCR text correction in SanskritCode1
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision ResearchCode1
On Web-based Visual Corpus Construction for Visual Document UnderstandingCode1
Unsupervised Audio-Visual Lecture SegmentationCode1
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling CorrectionCode1
OCR-VQGAN: Taming Text-within-Image GenerationCode1
Task Grouping for Multilingual Text RecognitionCode1
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API PredictionsCode1
Graph Neural Networks and Representation Embedding for Table Extraction in PDF DocumentsCode1
Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the WildCode1
You Actually Look Twice At it (YALTAi): using an object detection approach instead of region segmentation within the Kraken engineCode1
Detection of Furigana Text in ImagesCode1
hmBERT: Historical Multilingual Language Models for Named Entity RecognitionCode1
Easter2.0: Improving convolutional models for handwritten text recognitionCode1
German Parliamentary Corpus (GerParCor)Code1
Digitizing Historical Balance Sheet Data: A Practitioner's GuideCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCR 105MAccuracy (%)89.6Unverified
2DTrOCRAccuracy (%)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