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 551–560 of 1209 papers

Title	Date	Tasks	Status
Analyzing Patterns and Influence of Advertising in Print Newspapers	May 16, 2025	ArticlesOptical Character Recognition (OCR)	—Unverified
Corpus of 19th-century Czech Texts: Problems and Solutions	May 1, 2014	Optical Character Recognition (OCR)	—Unverified
Abstractive Information Extraction from Scanned Invoices (AIESI) using End-to-end Sequential Approach	Sep 12, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Information Extraction from Scanned Invoice Images using Text Analysis and Layout Features	Aug 8, 2022	Optical Character Recognition (OCR)	—Unverified
Corporate IT-support Help-Desk Process Hybrid-Automation Solution with Machine Learning Approach	Sep 18, 2019	BIG-bench Machine LearningOptical Character Recognition (OCR)	—Unverified
Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks	Feb 8, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Towards Self-Improvement of Diffusion Models via Group Preference Optimization	May 16, 2025	Optical Character Recognition (OCR)	—Unverified
CorA: A web-based annotation tool for historical and other non-standard language data	Apr 1, 2014	Optical Character Recognition (OCR)	—Unverified
Advanced ingestion process powered by LLM parsing for RAG system	Dec 16, 2024	Optical Character Recognition (OCR)RAG	—Unverified
Indonesian ID Card Extractor Using Optical Character Recognition and Natural Language Post-Processing	Dec 15, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—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