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 10511100 of 1209 papers

TitleStatusHype
LMV-RPA: Large Model Voting-based Robotic Process AutomationCode0
Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and DissertationsCode0
An Open Source Contractual Language Understanding Application Using Machine LearningCode0
Document Image Cleaning using Budget-Aware Black-Box ApproximationCode0
iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and RecognitionCode0
Alleviating Digitization Errors in Named Entity Recognition for Historical DocumentsCode0
An OCR system for the Unified Northern AlphabetCode0
Parallel Iterative Edit Models for Local Sequence TransductionCode0
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language ModelsCode0
PDFAnno: a Web-based Linguistic Annotation Tool for PDF DocumentsCode0
Cleaning Dirty Books: Post-OCR Processing for Previously Scanned TextsCode0
Arrow-Guided VLM: Enhancing Flowchart Understanding via Arrow Direction EncodingCode0
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine TranslationCode0
A Data-driven Investigation of Euphemistic Language: Comparing the usage of "slave" and "servant" in 19th century US newspapersCode0
DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document AnnotationCode0
Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR CorrectionCode0
Adapting the Tesseract Open Source OCR Engine for Multilingual OCRCode0
Augmented Math: Authoring AR-Based Explorable Explanations by Augmenting Static Math TextbooksCode0
High-Throughput Phenotyping using Computer Vision and Machine LearningCode0
HENet: Forcing a Network to Think More for Font RecognitionCode0
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and TrustworthinessCode0
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering NetworkCode0
PHD: Pixel-Based Language Modeling of Historical DocumentsCode0
MaViLS, a Benchmark Dataset for Video-to-Slide Alignment, Assessing Baseline Accuracy with a Multimodal Alignment Algorithm Leveraging Speech, OCR, and Visual FeaturesCode0
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural NetworkCode0
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression NetworksCode0
Single Classifier-based Passive System for Source Printer Classification using Local Texture FeaturesCode0
Measuring Intersectional Biases in Historical DocumentsCode0
Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language ModelsCode0
Handwritten Code Recognition for Pen-and-Paper CS EducationCode0
PIXELMOD: Improving Soft Moderation of Visual Misleading Information on TwitterCode0
An Evaluation of OCR on Egocentric DataCode0
Attention-based Extraction of Structured Information from Street View ImageryCode0
An Evaluation of DNN Architectures for Page Segmentation of Historical NewspapersCode0
Chinese Text in the WildCode0
Handwriting Classification for the Analysis of Art-Historical DocumentsCode0
MIDV-2019: Challenges of the modern mobile-based document OCRCode0
DeQA-Doc: Adapting DeQA-Score to Document Image Quality AssessmentCode0
Aligned Music Notation and Lyrics TranscriptionCode0
Analyzing Green View Index and Green View Index best path using Google Street View and deep learningCode0
PopEval: A Character-Level Approach to End-To-End Evaluation Compatible with Word-Level Benchmark DatasetCode0
Mining Spatio-temporal Data on Industrialization from Historical RegistriesCode0
DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical DocumentsCode0
Post-OCR parsing: building simple and robust parser via BIO taggingCode0
Post-OCR Text Correction for Bulgarian Historical DocumentsCode0
An efficient way for segmentation of Bangla characters in printed document using curved scanningCode0
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text ImagesCode0
Deciphering the Underserved: Benchmarking LLM OCR for Low-Resource ScriptsCode0
When Vision Fails: Text Attacks Against ViT and OCRCode0
Predicting the Past: Estimating Historical Appraisals with OCR and Machine LearningCode0
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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