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 681–690 of 1209 papers

Title	Date	Tasks	Status
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation	May 25, 2022	Multimodal ReasoningOptical Character Recognition (OCR)	—Unverified
LILA-BOTI : Leveraging Isolated Letter Accumulations By Ordering Teacher Insights for Bangla Handwriting Recognition	May 23, 2022	Handwriting RecognitionKnowledge Distillation	CodeCode Available
Detection Masking for Improved OCR on Noisy Documents	May 17, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Towards Deployable OCR models for Indic languages	May 13, 2022	Optical Character Recognition (OCR)Segmentation	—Unverified
Text Detection on Technical Drawings for the Digitization of Brown-field Processes	May 5, 2022	Data Augmentationobject-detection	—Unverified
OCR Synthetic Benchmark Dataset for Indic Languages	May 5, 2022	Optical Character Recognition (OCR)	—Unverified
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model	May 1, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
A Hybrid Defense Method against Adversarial Attacks on Traffic Sign Classifiers in Autonomous Vehicles	Apr 25, 2022	Autonomous VehiclesNavigate	—Unverified
Unitail: Detecting, Reading, and Matching in Retail Scene	Apr 1, 2022	BenchmarkingDense Object Detection	—Unverified
Benchmarking Algorithms for Automatic License Plate Recognition	Mar 27, 2022	BenchmarkingLicense Plate Recognition	—Unverified

Show:10 25 50

← PrevPage 69 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 105M	Accuracy (%)	89.6	—	Unverified
2	DTrOCR	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