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 981–990 of 1209 papers

Title	Date	Tasks	Status
Crowdsourcing an OCR Gold Standard for a German and French Heritage Corpus	May 1, 2016	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
CryptoDL: Deep Neural Networks over Encrypted Data	Nov 14, 2017	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
CSECU\_KDE\_MA at SemEval-2020 Task 8: A Neural Attention Model for Memotion Analysis	Dec 1, 2020	Optical Character Recognition (OCR)	—Unverified
DanProof: Pedagogical Spell and Grammar Checking for Danish	Sep 1, 2015	Machine TranslationOptical Character Recognition (OCR)	—Unverified
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection	Feb 25, 2016	Anomaly DetectionOptical Character Recognition	—Unverified
DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding	Jul 14, 2022	document understandingOptical Character Recognition (OCR)	—Unverified
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models	Nov 16, 2023	Data AugmentationDenoising	—Unverified
Decoding Anagrammed Texts Written in an Unknown Language and Script	Jan 1, 2016	DeciphermentLanguage Identification	—Unverified
Deductron -- A Recurrent Neural Network	Jun 23, 2018	Image to textOptical Character Recognition (OCR)	—Unverified
Deep Learning Approach for Receipt Recognition	May 30, 2019	DecoderDeep Learning	—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