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 1121–1130 of 1209 papers

Title	Date	Tasks	Status
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding	Nov 8, 2024	document understandingOptical Character Recognition (OCR)	—Unverified
HIP: Hierarchical Point Modeling and Pre-training for Visual Information Extraction	Nov 2, 2024	Image ReconstructionOptical Character Recognition (OCR)	—Unverified
HoughNet: neural network architecture for vanishing points detection	Sep 9, 2019	Optical Character Recognition (OCR)	—Unverified
How Do Large Vision-Language Models See Text in Image? Unveiling the Distinctive Role of OCR Heads	May 21, 2025	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites	Apr 25, 2024	4kLanguage Modeling	—Unverified
How many faces can be recognized? Performance extrapolation for multi-class classification	Jun 16, 2016	General ClassificationMulti-class Classification	—Unverified
How Much Data Do You Need? About the Creation of a Ground Truth for Black Letter and the Effectiveness of Neural OCR	May 1, 2020	Handwritten Text RecognitionHTR	—Unverified
ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction	Mar 18, 2021	Key Information ExtractionOptical Character Recognition (OCR)	—Unverified
ICDAR 2023 Competition on Reading the Seal Title	Apr 24, 2023	Optical Character Recognition (OCR)Task 2	—Unverified
Ice hockey player identification via transformers and weakly supervised learning	Nov 22, 2021	Optical Character RecognitionOptical 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