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 501–525 of 1209 papers

TitleStatusHype
Noisy Parallel Data AlignmentCode0
On the feasibility of attacking Thai LPR systems with adversarial examples—0
Improving Inference Performance of Machine Learning with the Divide-and-Conquer Principle—0
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules—0
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence ModelingCode2
A Comprehensive Gold Standard and Benchmark for Comics Text Detection and RecognitionCode1
Bengali Handwritten Digit Recognition using CNN with Explainable AI—0
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document UnderstandingCode0
Transferring General Multimodal Pretrained Models to Text Recognition—0
Towards Robust Handwritten Text Recognition with On-the-fly User Participation—0
Geometric Rectification of Creased Document Images based on Isometric Mapping—0
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering—0
LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing ImagesCode0
Extending TrOCR for Text Localization-Free OCR of Full-Page Scanned Receipt Images—0
PACMAN: a framework for pulse oximeter digit detection and reading in a low-resource setting—0
OCR-RTPS: An OCR-based real-time positioning system for the valet parking—0
SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-LabelsCode1
Information Retrieval from the Digitized Books—0
Chart-RCNN: Efficient Line Chart Data Extraction from Camera Images—0
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images—0
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation—0
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text ImagesCode1
Text-Aware Dual Routing Network for Visual Question Answering—0
ChartParser: Automatic Chart Parsing for Print-Impaired—0
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision ResearchCode1
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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
1DTrOCR 105MAccuracy (%)89.6—Unverified
2DTrOCRAccuracy (%)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