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 611–620 of 1209 papers

Title	Date	Tasks	Status
Geometric Rectification of Creased Document Images based on Isometric Mapping	Dec 16, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
LOANet: A Lightweight Network Using Object Attention for Extracting Buildings and Roads from UAV Aerial Remote Sensing Images	Dec 16, 2022	DecoderOptical Character Recognition (OCR)	CodeCode Available
Extending TrOCR for Text Localization-Free OCR of Full-Page Scanned Receipt Images	Dec 11, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
PACMAN: a framework for pulse oximeter digit detection and reading in a low-resource setting	Dec 9, 2022	object-detectionObject Detection	—Unverified
OCR-RTPS: An OCR-based real-time positioning system for the valet parking	Dec 8, 2022	Autonomous DrivingOptical Character Recognition (OCR)	—Unverified
Information Retrieval from the Digitized Books	Dec 2, 2022	Image RetrievalInformation Retrieval	—Unverified
Chart-RCNN: Efficient Line Chart Data Extraction from Camera Images	Nov 25, 2022	object-detectionObject Detection	—Unverified
Look, Read and Ask: Learning to Ask Questions by Reading Text in Images	Nov 23, 2022	Optical Character Recognition (OCR)Question Answering	—Unverified
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation	Nov 22, 2022	Optical Character Recognition (OCR)Semantic Segmentation	—Unverified
Text-Aware Dual Routing Network for Visual Question Answering	Nov 17, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified

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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 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