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 841–850 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
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension	Aug 1, 2020	Decoderglobal-optimization	—Unverified
Advancing Visual Specification of Code Requirements for Graphs	Jul 29, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Deep Learning Based Traffic Surveillance System For Missing and Suspicious Car Detection	Jul 17, 2020	Generative Adversarial NetworkOptical Character Recognition	—Unverified
Tamil Vowel Recognition With Augmented MNIST-like Data Set	Jun 9, 2020	ClassificationGeneral Classification	—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
Exploiter des mod\`eles de langue pour \'evaluer des sorties de logiciels d'OCR pour des documents fran du XVIIe si\`ecle ()	Jun 1, 2020	Optical Character Recognition (OCR)	—Unverified
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts	May 12, 2020	Anomaly DetectionContour Detection	—Unverified
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices	May 11, 2020	ClassificationGeneral Classification	—Unverified
Deep Learning Based Vehicle Tracking System Using License Plate Detection And Recognition	May 10, 2020	GPULicense Plate Detection	—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