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 371–380 of 1209 papers

Title	Date	Tasks	Status	Hype
SUT: a new multi-purpose synthetic dataset for Farsi document image analysis	Nov 27, 2023	Document Classificationdocument-image-classification	CodeCode Available	0
Optimization of Image Processing Algorithms for Character Recognition in Cultural Typewritten Documents	Nov 27, 2023	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	0
Data Generation for Post-OCR correction of Cyrillic handwriting	Nov 27, 2023	Handwriting generationHandwritten Text Recognition	CodeCode Available	1
Similar Document Template Matching Algorithm	Nov 21, 2023	Fraud DetectionOptical Character Recognition (OCR)	—Unverified	0
ChemScraper: Leveraging PDF Graphics Instructions for Molecular Diagram Parsing	Nov 20, 2023	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	0
DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding	Nov 20, 2023	document understandingLanguage Modeling	—Unverified	0
Efficient End-to-End Visual Document Understanding with Rationale Distillation	Nov 16, 2023	document understandingImage to text	—Unverified	0
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models	Nov 16, 2023	Data AugmentationDenoising	—Unverified	0
Multiple-Question Multiple-Answer Text-VQA	Nov 15, 2023	DecoderDenoising	—Unverified	0
Reading Between the Mud: A Challenging Motorcycle Racer Number Dataset	Nov 14, 2023	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	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