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 141–150 of 1209 papers

Title	Date	Tasks	Status	Hype
DocScanner: Robust Document Image Rectification with Progressive Learning	Oct 28, 2021	Optical Character Recognition (OCR)	CodeCode Available	1
DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents	Apr 24, 2023	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	1
Detection of Furigana Text in Images	Jul 8, 2022	object-detectionObject Detection	CodeCode Available	1
A Multiplexed Network for End-to-End, Multilingual OCR	Mar 29, 2021	Optical Character Recognition (OCR)Text Detection	CodeCode Available	1
Digitizing Historical Balance Sheet Data: A Practitioner's Guide	Mar 31, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	1
DSG: An End-to-End Document Structure Generator	Oct 13, 2023	Optical Character Recognition (OCR)	CodeCode Available	1
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement	Oct 17, 2020	BinarizationDeblurring	CodeCode Available	1
A Two-Step Approach for Automatic OCR Post-Correction	Dec 1, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	1
Efficient OCR for Building a Diverse Digital History	Apr 5, 2023	DiversityImage Retrieval	CodeCode Available	1
DiT: Self-supervised Pre-training for Document Image Transformer	Mar 4, 2022	Document AIdocument-image-classification	CodeCode Available	1

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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