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 661–670 of 1209 papers

Title	Date	Tasks	Status	Hype
DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction	Oct 25, 2021	Optical Character Recognition (OCR)	CodeCode Available	1
Ultra Light OCR Competition Technical Report	Oct 25, 2021	Optical Character Recognition (OCR)Scene Text Recognition	—Unverified	0
Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts	Oct 22, 2021	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	0
HENet: Forcing a Network to Think More for Font Recognition	Oct 21, 2021	Font RecognitionOptical Character Recognition (OCR)	CodeCode Available	0
Learning UI Navigation through Demonstrations composed of Macro Actions	Oct 16, 2021	Optical Character Recognition (OCR)	—Unverified	0
Optical Character Recognition of 19th Century Classical Commentaries: the Current State of Affairs	Oct 13, 2021	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	0
Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks	Oct 8, 2021	FormOptical Character Recognition (OCR)	—Unverified	0
WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition	Oct 7, 2021	Label Error DetectionOptical Character Recognition	CodeCode Available	1
Rerunning OCR: A Machine Learning Approach to Quality Assessment and Enhancement Prediction	Oct 4, 2021	BIG-bench Machine LearningDecision Making	CodeCode Available	1
Asking questions on handwritten document collections	Oct 2, 2021	Optical Character Recognition (OCR)Question Answering	—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