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
TICCLops: Text-Induced Corpus Clean-up as online processing system—0
Solving Substitution Ciphers with Combined Language Models—0
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 Zoning—0
Learning Ensembles of Structured Prediction Rules—0
Unsupervised Morphology-Based Vocabulary Expansion—0
Improved Typesetting Models for Historical OCR—0
Open Philology at the University of Leipzig—0
Synergy of Nederlab and—0
Corpus for Coreference Resolution on Scientific PapersCode0
Corpus of 19th-century Czech Texts: Problems and Solutions—0
Amazigh Verb Conjugator—0
Construction and Annotation of a French Folkstale Corpus—0
FLELex: a graded lexical resource for French foreign learners—0
The Interplay Between Lexical and Syntactic Resources in Incremental Parsebanking—0
CorA: A web-based annotation tool for historical and other non-standard language data—0
Bootstrapping a historical commodities lexicon with SKOS and DBpedia—0
Automated Error Detection in Digitized Cultural Heritage Documents—0
CHISPA on the GO: A mobile Chinese-Spanish translation service for travellers in trouble—0
Extraction of Line Word Character Segments Directly from Run Length Compressed Printed Text Documents—0
A Novel Method for the Recognition of Isolated Handwritten Arabic Characters—0
Bangla Text Recognition from Video Sequence: A New Focus—0
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures—0
Learning Adaptive Value of Information for Structured Prediction—0
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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