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

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Showing 1151–1175 of 1209 papers

TitleStatusHype
Chandojnanam: A Sanskrit Meter Identification and Utilization SystemCode0
VisionThink: Smart and Efficient Vision Language Model via Reinforcement LearningCode0
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video UnderstandingCode0
Ekush: A Multipurpose and Multitype Comprehensive Database for Online Off-Line Bangla Handwritten CharactersCode0
NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text RecognitionCode0
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance DetectionCode0
Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelCode0
TransDocs: Optical Character Recognition with word to word translationCode0
SUT: a new multi-purpose synthetic dataset for Farsi document image analysisCode0
Object detection deep learning networks for Optical Character RecognitionCode0
Efficient Video-Based ALPR System Using YOLO and Visual RhythmCode0
Relation-Rich Visual Document Generator for Visual Information ExtractionCode0
A Survey of Deep Learning Approaches for OCR and Document UnderstandingCode0
An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detectorCode0
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late InteractionCode0
Case Study of a highly automated Layout Analysis and OCR of an incunabulum: 'Der Heiligen Leben' (1488)Code0
Crossing Language Borders: A Pipeline for Indonesian Manhwa TranslationCode0
Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual AdaptersCode0
Transfer Learning for OCRopus Model Training on Early Printed BooksCode0
Calibrated Structured PredictionCode0
A Gaussian Process Upsampling Model for Improvements in Optical Character RecognitionCode0
SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table ExtractionCode0
Syntactic Language Change in English and German: Metrics, Parsers, and ConvergencesCode0
Efficient License Plate Recognition in Videos Using Visual Rhythm and Accumulative Line AnalysisCode0
EATEN: Entity-aware Attention for Single Shot Visual Text ExtractionCode0
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All datasetsBenchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical StudyVideoDB's OCR Benchmark Public CollectionFSNS - TestI2L-140KSUTim2latex-100k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCRAccuracy (%)89.6—Unverified
2DTrOCR 105MAccuracy (%)89.6—Unverified
3MaskOCR-LAccuracy (%)82.6—Unverified
4TransOCRAccuracy (%)72.8—Unverified
5SRNAccuracy (%)65—Unverified
6MORANAccuracy (%)64.3—Unverified
7SEEDAccuracy (%)61.2—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4oAverage Accuracy76.22—Unverified
2Gemini-1.5 ProAverage Accuracy76.13—Unverified
3Claude-3 SonnetAverage Accuracy67.71—Unverified
4RapidOCRAverage Accuracy56.98—Unverified
5EasyOCRAverage Accuracy49.3—Unverified
#ModelMetricClaimedVerifiedStatus
1STREETSequence error27.54—Unverified
2SEESequence error22—Unverified
3AttentionOCR_Inception-resnet-v2_LocationSequence error15.8—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-NOPOOLBLEU89.09—Unverified
2I2L-STRIPSBLEU89—Unverified
#ModelMetricClaimedVerifiedStatus
1TesseractCharacter Error Rate (CER)0.08—Unverified
2EasyOCRCharacter Error Rate (CER)0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-STRIPSBLEU88.86—Unverified