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 191–200 of 1209 papers

Title	Date	Tasks	Status	Hype
Harnessing Webpage UIs for Text-Rich Visual Understanding	Oct 17, 2024	document understandingOptical Character Recognition (OCR)	—Unverified	0
Reference-Based Post-OCR Processing with LLM for Diacritic Languages	Oct 17, 2024	Optical Character Recognition (OCR)	—Unverified	0
LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering	Oct 16, 2024	Optical Character Recognition (OCR)Question Answering	CodeCode Available	0
Comparison of Image Preprocessing Techniques for Vehicle License Plate Recognition Using OCR: Performance and Accuracy Evaluation	Oct 15, 2024	License Plate RecognitionOptical Character Recognition	—Unverified	0
Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset Repository	Oct 15, 2024	DiversityMachine Translation	CodeCode Available	0
ReLayout: Towards Real-World Document Understanding via Layout-enhanced Pre-training	Oct 14, 2024	document understandingOptical Character Recognition (OCR)	—Unverified	0
TextMaster: Universal Controllable Text Edit	Oct 13, 2024	Optical Character Recognition (OCR)Style Transfer	—Unverified	0
Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition	Oct 13, 2024	Domain AdaptationOptical Character Recognition (OCR)	CodeCode Available	1
MIRAGE: Multimodal Identification and Recognition of Annotations in Indian General Prescriptions	Oct 13, 2024	Handwriting RecognitionOptical Character Recognition	—Unverified	0
Unraveling Movie Genres through Cross-Attention Fusion of Bi-Modal Synergy of Poster	Oct 12, 2024	Genre classificationMarketing	—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