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 251300 of 1209 papers

TitleStatusHype
Character decomposition to resolve class imbalance problem in Hangul OCRCode0
Chandojnanam: A Sanskrit Meter Identification and Utilization SystemCode0
Mining Spatio-temporal Data on Industrialization from Historical RegistriesCode0
MaViLS, a Benchmark Dataset for Video-to-Slide Alignment, Assessing Baseline Accuracy with a Multimodal Alignment Algorithm Leveraging Speech, OCR, and Visual FeaturesCode0
AON: Towards Arbitrarily-Oriented Text RecognitionCode0
Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelCode0
AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational ApplicationsCode0
Measuring Intersectional Biases in Historical DocumentsCode0
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance DetectionCode0
Case Study of a highly automated Layout Analysis and OCR of an incunabulum: 'Der Heiligen Leben' (1488)Code0
An Unsupervised Model of Orthographic Variation for Historical Document TranscriptionCode0
M3T: A New Benchmark Dataset for Multi-Modal Document-Level Machine TranslationCode0
LILA-BOTI : Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting RecognitionCode0
LMV-RPA: Large Model Voting-based Robotic Process AutomationCode0
Calibrated Structured PredictionCode0
Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character RecognitionCode0
Answering Questions about Data Visualizations using Efficient Bimodal FusionCode0
LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question AnsweringCode0
Levenshtein OCRCode0
Building a Part-of-Speech Tagged Corpus for Drenjongke (Bhutia)Code0
Latent Tree Language ModelCode0
LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing ImagesCode0
KAP: MLLM-assisted OCR Text Enhancement for Hybrid Retrieval in Chinese Non-Narrative DocumentsCode0
KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing ApplicationsCode0
A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling CheckCode0
Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document TranscriptionCode0
Brno Mobile OCR DatasetCode0
An Open Source Contractual Language Understanding Application Using Machine LearningCode0
Optimal Projections for Discriminative Dictionary Learning using the JL-lemmaCode0
Advancing Post-OCR Correction: A Comparative Study of Synthetic DataCode0
It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug ReportsCode0
Jochre 3 and the Yiddish OCR corpusCode0
LAREX - A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed BooksCode0
License Plate Detection and Recognition in Unconstrained ScenariosCode0
Mobile User Interface Element Detection Via Adaptively Prompt TuningCode0
Order-preserving Consistency Regularization for Domain Adaptation and GeneralizationCode0
Improving patch-based scene text script identification with ensembles of conjoined networksCode0
Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic ManuscriptsCode0
Improving OCR Accuracy on Early Printed Books using Deep Convolutional NetworksCode0
An OCR system for the Unified Northern AlphabetCode0
Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and VotingCode0
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document ParsingCode0
Implicit Language Model in LSTM for OCRCode0
A Gaussian Process Upsampling Model for Improvements in Optical Character RecognitionCode0
Binary Document Image Super Resolution for Improved Readability and OCR PerformanceCode0
Improving OCR Accuracy on Early Printed Books by combining Pretraining, Voting, and Active LearningCode0
InstructOCR: Instruction Boosting Scene Text SpottingCode0
An Evaluation of OCR on Egocentric DataCode0
BiblioPage: A Dataset of Scanned Title Pages for Bibliographic Metadata ExtractionCode0
iExam: A Novel Online Exam Monitoring and Analysis System Based on Face Detection and RecognitionCode0
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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