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 721–730 of 1209 papers

Title	Date	Tasks	Status	Hype
An end-to-end Optical Character Recognition approach for ultra-low-resolution printed text images	May 10, 2021	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified	0
End-to-End Optical Character Recognition for Bengali Handwritten Words	May 9, 2021	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	0
Word-Level Alignment of Paper Documents with their Electronic Full-Text Counterparts	Apr 30, 2021	Optical Character Recognition (OCR)	CodeCode Available	0
AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions	Apr 27, 2021	Optical Character Recognition (OCR)	CodeCode Available	1
Analyzing Green View Index and Green View Index best path using Google Street View and deep learning	Apr 26, 2021	Optical Character Recognition (OCR)Semantic Segmentation	CodeCode Available	0
Tablext: A Combined Neural Network And Heuristic Based Table Extractor	Apr 22, 2021	object-detectionObject Detection	—Unverified	0
Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model	Apr 19, 2021	Language ModelingLanguage Modelling	CodeCode Available	1
TeLCoS: OnDevice Text Localization with Clustering of Script	Apr 16, 2021	ClusteringImage Categorization	—Unverified	0
Open data for Moroccan license plates for OCR applications : data collection, labeling, and model construction	Apr 16, 2021	Data AugmentationLicense Plate Recognition	—Unverified	0
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages	Apr 12, 2021	Machine TranslationMultilingual NLP	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