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 771–780 of 1209 papers

Title	Date	Tasks	Status
Weakly Supervised Construction of ASR Systems with Massive Video Data	Aug 4, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Weakly supervised information extraction from inscrutable handwritten document images	Jun 12, 2023	Language ModelingLanguage Modelling	—Unverified
We Live in a Motorized Civilization: Robert Moses Replies to Robert Caro	Mar 26, 2021	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Training BERT Models to Carry Over a Coding System Developed on One Corpus to Another	Aug 7, 2023	Domain AdaptationOptical Character Recognition (OCR)	—Unverified
What Large Language Models Bring to Text-rich VQA?	Nov 13, 2023	Image ComprehensionOptical Character Recognition (OCR)	—Unverified
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images	Jun 1, 2020	Adversarial AttackAdversarial Text	—Unverified
What Media Frames Reveal About Stance: A Dataset and Study about Memes in Climate Change Discourse	May 22, 2025	Optical Character Recognition (OCR)Stance Detection	—Unverified
Words as Geometric Features: Estimating Homography using Optical Character Recognition as Compressed Image Representation	May 25, 2025	Anomaly DetectionHomography Estimation	—Unverified
Word Searching in Scene Image and Video Frame in Multi-Script Scenario using Dynamic Shape Coding	Aug 18, 2017	Keyword SpottingOptical Character Recognition (OCR)	—Unverified
Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform	Sep 17, 2020	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	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