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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 1151–1160 of 1209 papers

Title	Date	Tasks	Status
TICCLops: Text-Induced Corpus Clean-up as online processing system	Aug 1, 2014	Optical Character Recognition (OCR)Spelling Correction	—Unverified
Solving Substitution Ciphers with Combined Language Models	Aug 1, 2014	Machine TranslationOptical Character Recognition (OCR)	—Unverified
Bambara and Maninka Manding Languages Written Corpora Project (``Projet des corpus \'ecrits des langues manding : le bambara, le maninka'') [in French]	Jul 1, 2014	Optical Character Recognition (OCR)	—Unverified
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]	Jul 1, 2014	named-entity-recognitionNamed Entity Recognition	—Unverified
Offline Handwritten MODI Character Recognition Using HU, Zernike Moments and Zoning	Jun 24, 2014	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Improved Typesetting Models for Historical OCR	Jun 1, 2014	Optical Character Recognition (OCR)	—Unverified
Unsupervised Morphology-Based Vocabulary Expansion	Jun 1, 2014	Language ModellingMachine Translation	—Unverified
Learning Ensembles of Structured Prediction Rules	Jun 1, 2014	Machine TranslationOptical Character Recognition (OCR)	—Unverified
The Interplay Between Lexical and Syntactic Resources in Incremental Parsebanking	May 1, 2014	Optical Character Recognition (OCR)	—Unverified
Amazigh Verb Conjugator	May 1, 2014	Optical Character Recognition (OCR)	—Unverified

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All datasets Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study VideoDB's OCR Benchmark Public Collection FSNS - Test I2L-140K SUT im2latex-100k

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DTrOCR	Accuracy (%)	89.6	—	Unverified
2	DTrOCR 105M	Accuracy (%)	89.6	—	Unverified
3	MaskOCR-L	Accuracy (%)	82.6	—	Unverified
4	TransOCR	Accuracy (%)	72.8	—	Unverified
5	SRN	Accuracy (%)	65	—	Unverified
6	MORAN	Accuracy (%)	64.3	—	Unverified
7	SEED	Accuracy (%)	61.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT-4o	Average Accuracy	76.22	—	Unverified
2	Gemini-1.5 Pro	Average Accuracy	76.13	—	Unverified
3	Claude-3 Sonnet	Average Accuracy	67.71	—	Unverified
4	RapidOCR	Average Accuracy	56.98	—	Unverified
5	EasyOCR	Average Accuracy	49.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STREET	Sequence error	27.54	—	Unverified
2	SEE	Sequence error	22	—	Unverified
3	AttentionOCR_Inception-resnet-v2_Location	Sequence error	15.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	I2L-NOPOOL	BLEU	89.09	—	Unverified
2	I2L-STRIPS	BLEU	89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Tesseract	Character Error Rate (CER)	0.08	—	Unverified
2	EasyOCR	Character Error Rate (CER)	0.07	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	I2L-STRIPS	BLEU	88.86	—	Unverified