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 701–710 of 1209 papers

Title	Date	Tasks	Status	Hype
Classification of Documents Extracted from Images with Optical Character Recognition Methods	Jun 15, 2021	BIG-bench Machine LearningOptical Character Recognition	—Unverified	0
Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning	Jun 15, 2021	Data AugmentationOptical Character Recognition	—Unverified	0
Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter	Jun 10, 2021	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	1
Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition	Jun 10, 2021	GPUOptical Character Recognition (OCR)	—Unverified	0
Classification of Contract-Amendment Relationships	Jun 8, 2021	ClassificationManagement	—Unverified	0
PAM: Understanding Product Images in Cross Product Category Attribute Extraction	Jun 8, 2021	AttributeAttribute Extraction	—Unverified	0
End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net	Jun 2, 2021	Optical Character Recognition (OCR)	CodeCode Available	1
Toward Creation of Ancash Lexical Resources from OCR	Jun 1, 2021	Optical Character Recognition (OCR)	—Unverified	0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods	May 31, 2021	ArticlesBIG-bench Machine Learning	—Unverified	0
A Full-Stack Search Technique for Domain Optimized Deep Learning Accelerators	May 26, 2021	Optical Character Recognition (OCR)Scheduling	—Unverified	0

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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