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 201–210 of 1209 papers

Title	Date	Tasks	Status	Hype	Score
Intrinsic Decomposition of Document Images In-the-Wild	Nov 29, 2020	Document Shadow RemovalIntrinsic Image Decomposition	CodeCode Available	1	5
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages	Mar 26, 2024	Machine Reading ComprehensionOptical Character Recognition (OCR)	CodeCode Available	1	5
Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval	Jul 1, 2020	Optical Character Recognition (OCR)Retrieval	CodeCode Available	1	5
FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions	May 28, 2023	AttributeImage Captioning	CodeCode Available	1	5
A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching	Sep 17, 2020	Deep LearningEntity Resolution	CodeCode Available	1	5
TagGPT: Large Language Models are Zero-shot Multimodal Taggers	Apr 6, 2023	Optical Character Recognition (OCR)Prompt Engineering	CodeCode Available	1	5
Confidence-aware Non-repetitive Multimodal Transformers for TextCaps	Dec 7, 2020	Image CaptioningOptical Character Recognition	CodeCode Available	1	5
Generating Synthetic Handwritten Historical Documents With OCR Constrained GANs	Mar 15, 2021	Optical Character Recognition (OCR)Synthetic Data Generation	CodeCode Available	1	5
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish	Nov 6, 2020	Machine TranslationNMT	CodeCode Available	1	5
Iranis: A Large-scale Dataset of Farsi License Plate Characters	Jan 1, 2021	image-classificationImage Classification	CodeCode Available	1	5

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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