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 81–90 of 1209 papers

Title	Date	Tasks	Status	Hype
Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition	Oct 13, 2024	Domain AdaptationOptical Character Recognition (OCR)	CodeCode Available	1
Hespi: A pipeline for automatically detecting information from hebarium specimen sheets	Oct 11, 2024	Handwritten Text RecognitionHTR	CodeCode Available	1
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks	Sep 20, 2024	AllDependency Parsing	CodeCode Available	1
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven Approach	Aug 27, 2024	License Plate RecognitionOptical Character Recognition	CodeCode Available	1
DocLayLLM: An Efficient and Effective Multi-modal Extension of Large Language Models for Text-rich Document Understanding	Aug 27, 2024	document understandingOptical Character Recognition (OCR)	CodeCode Available	1
Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval	Aug 1, 2024	AttributeOptical Character Recognition	CodeCode Available	1
Image-text matching for large-scale book collections	Jul 29, 2024	Image-text matchingOptical Character Recognition (OCR)	CodeCode Available	1
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding	Jul 17, 2024	document understandingOptical Character Recognition (OCR)	CodeCode Available	1
FlowLearn: Evaluating Large Vision-Language Models on Flowchart Understanding	Jul 6, 2024	Optical Character Recognition (OCR)Visual Question Answering (VQA)	CodeCode Available	1
CORU: Comprehensive Post-OCR Parsing and Receipt Understanding Dataset	Jun 6, 2024	object-detectionObject Detection	CodeCode Available	1

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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