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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 1209 papers

TitleStatusHype
ViTextVQA: A Large-Scale Visual Question Answering Dataset for Evaluating Vietnamese Text Comprehension in ImagesCode0
MathWriting: A Dataset For Handwritten Mathematical Expression Recognition—0
Resilience of Large Language Models for Noisy Instructions—0
Convolution-based Probability Gradient Loss for Semantic SegmentationCode0
Making Old Kurdish Publications Processable by Augmenting Available Optical Character Recognition Engines—0
VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?Code2
NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document EnhancementCode2
HAMMR: HierArchical MultiModal React agents for generic VQA—0
Design and Development of a Framework For Stroke-Based Handwritten Gujarati Font Generation—0
CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing ModelsCode1
Optical Text Recognition in Nepali and Bengali: A Transformer-based Approach—0
Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You WantCode2
RealKIE: Five Novel Datasets for Enterprise Key Information Extraction—0
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesCode1
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings—0
The Solution for the ICCV 2023 1st Scientific Figure Captioning Challenge—0
Visually Guided Generative Text-Layout Pre-training for Document IntelligenceCode2
Grammatical vs Spelling Error Correction: An Investigation into the Responsiveness of Transformer-based Language Models using BART and MarianMT—0
Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation—0
PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific DocumentsCode1
Chart-based Reasoning: Transferring Capabilities from LLMs to VLMs—0
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding—0
Financial Table Extraction in Image Documents—0
Advancing Multilingual Handwritten Numeral Recognition with Attention-driven Transfer LearningCode0
OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System—0
Show:102550
← PrevPage 13 of 49Next →
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