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 821–830 of 1209 papers

Title	Date	Tasks	Status
Alleviating Digitization Errors in Named Entity Recognition for Historical Documents	Nov 1, 2020	named-entity-recognitionNamed Entity Recognition	CodeCode Available
Persian Handwritten Digit, Character and Word Recognition Using Deep Learning	Oct 24, 2020	Data AugmentationDeep Learning	—Unverified
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution	Oct 18, 2020	Face DetectionOptical Character Recognition	—Unverified
A Conglomerate of Multiple OCR Table Detection and Extraction	Oct 16, 2020	Optical Character Recognition (OCR)Table Detection	—Unverified
DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding	Oct 15, 2020	FormOptical Character Recognition (OCR)	—Unverified
Finding the Evidence: Localization-aware Answer Prediction for Text Visual Question Answering	Oct 6, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Hamming OCR: A Locality Sensitive Hashing Neural Network for Scene Text Recognition	Sep 23, 2020	DecoderOptical Character Recognition (OCR)	—Unverified
Towards Image-based Automatic Meter Reading in Unconstrained Scenarios: A Robust and Efficient Approach	Sep 21, 2020	Image-based Automatic Meter ReadingMeter Reading	—Unverified
An Efficient Language-Independent Multi-Font OCR for Arabic Script	Sep 18, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform	Sep 17, 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