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 471–480 of 1209 papers

Title	Date	Tasks	Status	Hype
Combining OCR Models for Reading Early Modern Printed Books	May 11, 2023	Font RecognitionOptical Character Recognition (OCR)	CodeCode Available	0
E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation	May 9, 2023	DecoderMachine Translation	CodeCode Available	0
TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition	May 9, 2023	Optical Character Recognition (OCR)Scene Text Recognition	CodeCode Available	1
Text Reading Order in Uncontrolled Conditions by Sparse Graph Segmentation	May 4, 2023	Optical Character Recognition (OCR)	—Unverified	0
Evaluating BERT-based Scientific Relation Classifiers for Scholarly Knowledge Graph Construction on Digital Library Collections	May 3, 2023	graph constructionOptical Character Recognition	—Unverified	0
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model	Apr 28, 2023	Instruction Followingmodel	CodeCode Available	5
DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents	Apr 24, 2023	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available	1
ICDAR 2023 Competition on Reading the Seal Title	Apr 24, 2023	Optical Character Recognition (OCR)Task 2	—Unverified	0
Multimodal Short Video Rumor Detection System Based on Contrastive Learning	Apr 17, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
TransDocs: Optical Character Recognition with word to word translation	Apr 15, 2023	Deep LearningDocument Translation	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