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 211–220 of 1209 papers

Title	Date	Tasks	Status	Hype	Score
LAMBERT: Layout-Aware (Language) Modeling for information extraction	Feb 19, 2020	Key Information ExtractionLanguage Modeling	CodeCode Available	1	5
Lexically Aware Semi-Supervised Learning for OCR Post-Correction	Nov 4, 2021	Language ModellingOptical Character Recognition	CodeCode Available	1	5
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification	Feb 16, 2023	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1	5
TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming	Feb 15, 2024	Optical Character Recognition (OCR)Text Detection	CodeCode Available	1	5
OCR-IDL: OCR Annotations for Industry Document Library Dataset	Feb 25, 2022	Optical Character Recognition (OCR)	CodeCode Available	1	5
Tokenization Repair in the Presence of Spelling Errors	Oct 15, 2020	Optical Character Recognition (OCR)Spelling Correction	CodeCode Available	1	5
Toxicity of the Commons: Curating Open-Source Pre-Training Data	Oct 29, 2024	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	1	5
TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition	May 9, 2023	Optical Character Recognition (OCR)Scene Text Recognition	CodeCode Available	1	5
Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition	Oct 13, 2024	Domain AdaptationOptical Character Recognition (OCR)	CodeCode Available	1	5
You Actually Look Twice At it (YALTAi): using an object detection approach instead of region segmentation within the Kraken engine	Jul 19, 2022	Classificationobject-detection	CodeCode Available	1	5

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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