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 261–270 of 1209 papers

Title	Date	Tasks	Status	Score
LAREX - A semi-automatic open-source Tool for Layout Analysis and Region Extraction on Early Printed Books	Jan 20, 2017	Optical Character Recognition (OCR)	CodeCode Available	5
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection	Jan 9, 2021	Information RetrievalOptical Character Recognition (OCR)	CodeCode Available	5
Case Study of a highly automated Layout Analysis and OCR of an incunabulum: 'Der Heiligen Leben' (1488)	Jan 20, 2017	Optical Character Recognition (OCR)	CodeCode Available	5
Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing	Jun 1, 2025	Document AIdocument understanding	CodeCode Available	5
An Unsupervised Model of Orthographic Variation for Historical Document Transcription	Jun 1, 2016	Optical Character Recognition (OCR)	CodeCode Available	5
InstructOCR: Instruction Boosting Scene Text Spotting	Dec 20, 2024	Optical Character Recognition (OCR)Text Spotting	CodeCode Available	5
Investigating OCR-Sensitive Neurons to Improve Entity Recognition in Historical Documents	Sep 25, 2024	named-entity-recognitionNamed Entity Recognition	CodeCode Available	5
Improving patch-based scene text script identification with ensembles of conjoined networks	Feb 24, 2016	General ClassificationOptical Character Recognition (OCR)	CodeCode Available	5
Improving OCR Accuracy on Early Printed Books using Deep Convolutional Networks	Feb 27, 2018	Optical Character Recognition (OCR)	CodeCode Available	5
Improving OCR Accuracy on Early Printed Books by utilizing Cross Fold Training and Voting	Nov 27, 2017	Optical Character Recognition (OCR)	CodeCode Available	5

Show:10 25 50

← PrevPage 27 of 121Next →

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