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 501–550 of 1209 papers

TitleStatusHype
Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition—0
Introducing the Reference Corpus of Contemporary Portuguese Online—0
GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing—0
GMN: Generative Multi-modal Network for Practical Document Information Extraction—0
Invisible Threats: Backdoor Attack in OCR Systems—0
Language Classification and Segmentation of Noisy Documents in Hebrew Scripts—0
Deep Reader: Information extraction from Document images via relation extraction and Natural Language—0
Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin—0
Grouping Language Model Boundary Words to Speed K--Best Extraction from Hypergraphs—0
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding—0
Deep Learning Based Vehicle Tracking System Using License Plate Detection And Recognition—0
Automatic Compositor Attribution in the First Folio of Shakespeare—0
Deep Learning Based Traffic Surveillance System For Missing and Suspicious Car Detection—0
Deep learning-based NLP Data Pipeline for EHR Scanned Document Information Extraction—0
Automatic Classification of Pathology Reports using TF-IDF Features—0
An Efficient Language-Independent Multi-Font OCR for Arabic Script—0
Deep Learning Approach for Receipt Recognition—0
Automated Translation of a Literary Work: A Pilot Study—0
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System—0
Deductron -- A Recurrent Neural Network—0
Decoding Anagrammed Texts Written in an Unknown Language and Script—0
Automated Transcription of Non-Latin Script Periodicals: A Case Study in the Ottoman Turkish Print Archive—0
Advancements and Challenges in Arabic Optical Character Recognition: A Comprehensive Survey—0
Information Extraction from Scanned Invoice Images using Text Analysis and Layout Features—0
Automated Quality Control System for Canned Tuna Production using Artificial Vision—0
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models—0
Automated Parsing of Engineering Drawings for Structured Information Extraction Using a Fine-tuned Document Understanding Transformer—0
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection—0
Indigenous language technologies in Canada: Assessment, challenges, and successes—0
DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding—0
Automated Error Detection in Digitized Cultural Heritage Documents—0
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection—0
Automated data extraction of bar chart raster images—0
Ancient but Digitized: Developing Handwritten Optical Character Recognition for East Syriac Script Through Creating KHAMIS Dataset—0
Indonesian ID Card Extractor Using Optical Character Recognition and Natural Language Post-Processing—0
Information Extraction from Unstructured data using Augmented-AI and Computer Vision—0
Neural Probabilistic System for Text Recognition—0
DanProof: Pedagogical Spell and Grammar Checking for Danish—0
An Assessment of the Impact of OCR Noise on Language Models—0
CSECU\_KDE\_MA at SemEval-2020 Task 8: A Neural Attention Model for Memotion Analysis—0
CryptoDL: Deep Neural Networks over Encrypted Data—0
Autocorrection of arabic common errors for large text corpus—0
Improving OCR Quality in 19th Century Historical Documents Using a Combined Machine Learning Based Approach—0
Crowdsourcing an OCR Gold Standard for a German and French Heritage Corpus—0
Advanced Knowledge Extraction of Physical Design Drawings, Translation and conversion to CAD formats using Deep Learning—0
CREPE: Coordinate-Aware End-to-End Document Parser—0
Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship—0
Improving Optical Character Recognition of Finnish Historical Newspapers with a Combination of Fraktur \& Antiqua Models and Image Preprocessing—0
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning—0
Correction of OCR Word Segmentation Errors in Articles from the ACL Collection through Neural Machine Translation Methods—0
Show:102550
← PrevPage 11 of 25Next →
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