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 611–620 of 1209 papers

Title	Date	Tasks	Status	Hype
German Parliamentary Corpus (GerParCor)	Apr 21, 2022	Optical Character Recognition (OCR)	CodeCode Available	1
Unitail: Detecting, Reading, and Matching in Retail Scene	Apr 1, 2022	BenchmarkingDense Object Detection	—Unverified	0
Digitizing Historical Balance Sheet Data: A Practitioner's Guide	Mar 31, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	1
Benchmarking Algorithms for Automatic License Plate Recognition	Mar 27, 2022	BenchmarkingLicense Plate Recognition	—Unverified	0
Plagiarism Detection in the Bengali Language: A Text Similarity-Based Approach	Mar 25, 2022	Optical Character Recognition (OCR)text similarity	—Unverified	0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering	Mar 24, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified	0
Document Dewarping with Control Points	Mar 20, 2022	Optical Character Recognition (OCR)	CodeCode Available	1
XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding	Mar 14, 2022	document understandingOptical Character Recognition (OCR)	CodeCode Available	1
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting	Mar 8, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified	0
OCR quality affects perceived usefulness of historical newspaper clippings -- a user study	Mar 4, 2022	ArticlesInformation Retrieval	—Unverified	0

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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