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 10011050 of 1209 papers

TitleStatusHype
RealKIE: Five Novel Datasets for Enterprise Key Information Extraction0
Real-time information retrieval from Identity cards0
Jochre 3 and the Yiddish OCR corpusCode0
Combining OCR Models for Reading Early Modern Printed BooksCode0
Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document TranscriptionCode0
Scrambled text: training Language Models to correct OCR errors using synthetic dataCode0
KAP: MLLM-assisted OCR Text Enhancement for Hybrid Retrieval in Chinese Non-Narrative DocumentsCode0
SEARNN: Training RNNs with Global-Local LossesCode0
Document Rectification and Illumination Correction using a Patch-based CNNCode0
Optimal Projections for Discriminative Dictionary Learning using the JL-lemmaCode0
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural ImagesCode0
KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing ApplicationsCode0
Clustering-Based Article Identification in Historical NewspapersCode0
It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug ReportsCode0
Optical Character Recognition of 19th Century Classical Commentaries: the Current State of AffairsCode0
A Multi-Object Rectified Attention Network for Scene Text RecognitionCode0
Teaching Machines to Code: Neural Markup Generation with Visual AttentionCode0
An Unsupervised Model of Orthographic Variation for Historical Document TranscriptionCode0
LAREX - A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed BooksCode0
Toward Advancing License Plate Super-Resolution in Real-World Scenarios: A Dataset and BenchmarkCode0
Automatic Recognition of Learning Resource Category in a Digital LibraryCode0
Investigating OCR-Sensitive Neurons to Improve Entity Recognition in Historical DocumentsCode0
Latent Tree Language ModelCode0
InstructOCR: Instruction Boosting Scene Text SpottingCode0
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document ParsingCode0
Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question AnsweringCode0
Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten DocumentsCode0
Optimizing Nepali PDF Extraction: A Comparative Study of Parser and OCR TechnologiesCode0
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and FilteringCode0
Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based ReasoningCode0
LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing ImagesCode0
Order-preserving Consistency Regularization for Domain Adaptation and GeneralizationCode0
LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question AnsweringCode0
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural NetworksCode0
Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic ManuscriptsCode0
Improving patch-based scene text script identification with ensembles of conjoined networksCode0
Levenshtein OCRCode0
ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in ImagesCode0
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document UnderstandingCode0
Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and VotingCode0
License Plate Detection and Recognition in Unconstrained ScenariosCode0
Answering Questions about Data Visualizations using Efficient Bimodal FusionCode0
Improving OCR Accuracy on Early Printed Books using Deep Convolutional NetworksCode0
LILA-BOTI : Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting RecognitionCode0
OVeNet: Offset Vector Network for Semantic SegmentationCode0
A model of diffuse Galactic Radio Emission from 10 MHz to 100 GHzCode0
Separate and Locate: Rethink the Text in Text-based Visual Question AnsweringCode0
Sequence-aware multimodal page classification of Brazilian legal documentsCode0
Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active LearningCode0
Implicit Language Model in LSTM for OCRCode0
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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