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 131–140 of 1209 papers

Title	Date	Tasks	Status	Hype
Emergency-Brake Simplex: Toward A Verifiably Safe Control-CPS Architecture for Abrupt Runtime Reachability Constraint Changes	Jan 3, 2025	Computational EfficiencyOptical Character Recognition (OCR)	—Unverified	0
Crossing Language Borders: A Pipeline for Indonesian Manhwa Translation	Jan 3, 2025	Machine TranslationObject Detection	CodeCode Available	0
Embedding Similarity Guided License Plate Super Resolution	Jan 2, 2025	License Plate RecognitionOptical Character Recognition	—Unverified	0
Towards Natural Language-Based Document Image Retrieval: New Dataset and Benchmark	Jan 1, 2025	document understandingImage Retrieval	—Unverified	0
CLIP is Almost All You Need: Towards Parameter-Efficient Scene Text Retrieval without OCR	Jan 1, 2025	AllOptical Character Recognition	—Unverified	0
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding	Jan 1, 2025	document understandingOptical Character Recognition (OCR)	CodeCode Available	1
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining	Jan 1, 2025	Optical Character Recognition (OCR)	CodeCode Available	2
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning	Dec 31, 2024	BenchmarkingLogical Reasoning	CodeCode Available	4
Optical Character Recognition using Convolutional Neural Networks for Ashokan Brahmi Inscriptions	Dec 29, 2024	Data AugmentationImage Segmentation	—Unverified	0
Do Current Video LLMs Have Strong OCR Abilities? A Preliminary Study	Dec 29, 2024	Motion DetectionOptical Character Recognition	CodeCode Available	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