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 871–880 of 1209 papers

Title	Date	Tasks	Status
Confronting the Constraints for Optical Character Segmentation from Printed Bangla Text Image	Mar 18, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Multistage Curvilinear Coordinate Transform Based Document Image Dewarping using a Novel Quality Estimator	Mar 15, 2020	Optical Character Recognition (OCR)	—Unverified
Investigating the Decoders of Maximum Likelihood Sequence Models: A Look-ahead Approach	Mar 8, 2020	Machine TranslationMultimodal Machine Translation	—Unverified
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning	Feb 23, 2020	ArticlesDeep Learning	CodeCode Available
Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks	Feb 8, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Plague Dot Text: Text mining and annotation of outbreak reports of the Third Plague Pandemic (1894-1952)	Feb 4, 2020	EpidemiologyOptical Character Recognition	—Unverified
Pseudo-Bidirectional Decoding for Local Sequence Transduction	Jan 31, 2020	DecoderGrammatical Error Correction	—Unverified
Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks	Jan 8, 2020	document understandingOptical Character Recognition	—Unverified
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)	Jan 1, 2020	ArticlesOptical Character Recognition	—Unverified
DDI-100: Dataset for Text Detection and Recognition	Dec 25, 2019	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available

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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