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 11511200 of 1209 papers

TitleStatusHype
TICCLops: Text-Induced Corpus Clean-up as online processing system0
Solving Substitution Ciphers with Combined Language Models0
Named Entity Recognition and Correction in OCRized Corpora (D\'etection et correction automatique d'entit\'es nomm\'ees dans des corpus OCRis\'es) [in French]0
Bambara and Maninka Manding Languages Written Corpora Project (``Projet des corpus \'ecrits des langues manding : le bambara, le maninka'') [in French]0
Offline Handwritten MODI Character Recognition Using HU, Zernike Moments and Zoning0
Learning Ensembles of Structured Prediction Rules0
Unsupervised Morphology-Based Vocabulary Expansion0
Improved Typesetting Models for Historical OCR0
Open Philology at the University of Leipzig0
Synergy of Nederlab and0
Corpus for Coreference Resolution on Scientific PapersCode0
Corpus of 19th-century Czech Texts: Problems and Solutions0
Amazigh Verb Conjugator0
Construction and Annotation of a French Folkstale Corpus0
FLELex: a graded lexical resource for French foreign learners0
The Interplay Between Lexical and Syntactic Resources in Incremental Parsebanking0
CorA: A web-based annotation tool for historical and other non-standard language data0
Bootstrapping a historical commodities lexicon with SKOS and DBpedia0
Automated Error Detection in Digitized Cultural Heritage Documents0
CHISPA on the GO: A mobile Chinese-Spanish translation service for travellers in trouble0
Extraction of Line Word Character Segments Directly from Run Length Compressed Printed Text Documents0
A Novel Method for the Recognition of Isolated Handwritten Arabic Characters0
Bangla Text Recognition from Video Sequence: A New Focus0
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures0
Learning Adaptive Value of Information for Structured Prediction0
Sinica-IASL Chinese spelling check system at Sighan-70
A Maximum Entropy Approach to Chinese Spelling Check0
Categorizing ancient documents0
Multi-Task Learning for Improved Discriminative Training in SMT0
Morphological annotation of Old and Middle Hungarian corpora0
The mathematics of language learning0
Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition0
Unsupervised Transcription of Historical Documents0
Finite State Approach to the Kazakh Nominal Paradigm0
K-Algorithm A Modified Technique for Noise Removal in Handwritten Documents0
Grouping Language Model Boundary Words to Speed K--Best Extraction from Hypergraphs0
Reading Ancient Coin Legends: Object Recognition vs. OCR0
Leveraging Statistical Transliteration for Dictionary-Based English-Bengali CLIR of OCR`d Text0
Volume Regularization for Binary Classification0
A Possibilistic Approach for Automatic Word Sense Disambiguation0
Combining OCR Outputs for Logical Document Structure Markup. Technical Background to the ACL 2012 Contributed Task0
Towards an ACL Anthology Corpus with Logical Document Structure. An Overview of the ACL 2012 Contributed Task0
Comparing human versus automatic feature extraction for fine-grained elementary readability assessment0
A free and open-source tool that reads movie subtitles aloud0
Digitizing 18th-Century French Literature: Comparing transcription methods for a critical edition text0
Linguistic Resources for Handwriting Recognition and Translation Evaluation0
Tree-Structured Named Entity Recognition on OCR Data: Analysis, Processing and Results0
The goo300k corpus of historical Slovene0
Introducing the Reference Corpus of Contemporary Portuguese Online0
Extended Named Entities Annotation on OCRed Documents: From Corpus Constitution to Evaluation Campaign0
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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