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 871–880 of 1209 papers

Title	Date	Tasks	Status
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning	Sep 30, 2024	Mixture-of-ExpertsOptical Character Recognition (OCR)	—Unverified
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding	Oct 25, 2024	Benchmarkingdocument understanding	—Unverified
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents	Jan 15, 2025	BenchmarkingOptical Character Recognition (OCR)	—Unverified
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency	Feb 13, 2025	BenchmarkingMath	—Unverified
MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark	Jan 28, 2025	MMEModel Optimization	—Unverified
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding	Aug 14, 2021	Key Information Extractionnamed-entity-recognition	—Unverified
MMR: Evaluating Reading Ability of Large Multimodal Models	Aug 26, 2024	Font RecognitionMMR total	—Unverified
Morphological annotation of Old and Middle Hungarian corpora	Aug 1, 2013	Optical Character Recognition (OCR)	—Unverified
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding	Mar 19, 2024	document understandingOptical Character Recognition (OCR)	—Unverified
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding	Sep 5, 2024	document understandingGPU	—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