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 891–900 of 1209 papers

Title	Date	Tasks	Status
BIOfid Dataset: Publishing a German Gold Standard for Named Entity Recognition in Historical Biodiversity Literature	Nov 1, 2019	named-entity-recognitionNamed Entity Recognition	—Unverified
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images	Oct 15, 2019	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-Correction	Oct 12, 2019	BIG-bench Machine LearningMachine Translation	CodeCode Available
Rosetta: Large scale system for text detection and recognition in images	Oct 11, 2019	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Membership Model Inversion Attacks for Deep Networks	Oct 9, 2019	modelOptical Character Recognition (OCR)	—Unverified
MIDV-2019: Challenges of the modern mobile-based document OCR	Oct 9, 2019	Face DetectionOptical Character Recognition (OCR)	CodeCode Available
Parallel Iterative Edit Models for Local Sequence Transduction	Oct 7, 2019	DecoderGrammatical Error Correction	CodeCode Available
NASS-AI: Towards Digitization of Parliamentary Bills using Document Level Embedding and Bidirectional Long Short-Term Memory	Oct 2, 2019	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks	Oct 1, 2019	3D geometryLocal Distortion	CodeCode Available
Multi-modal Page Stream Segmentation with Convolutional Neural Networks	Sep 27, 2019	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available

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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