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 941–950 of 1209 papers

Title	Date	Tasks	Status	Hype
Multikernel activation functions: formulation and a case study	Jan 29, 2019	Optical Character Recognition (OCR)	—Unverified	0
SAML-QC: a Stochastic Assessment and Machine Learning based QC technique for Industrial Printing	Jan 18, 2019	BIG-bench Machine LearningOptical Character Recognition	—Unverified	0
A Multi-Object Rectified Attention Network for Scene Text Recognition	Jan 10, 2019	DecoderObject	CodeCode Available	0
Lipi Gnani - A Versatile OCR for Documents in any Language Printed in Kannada Script	Jan 2, 2019	BinarizationOptical Character Recognition (OCR)	—Unverified	0
An OCR system for the Unified Northern Alphabet	Jan 1, 2019	Optical Character Recognition (OCR)	CodeCode Available	0
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks	Dec 31, 2018	Handwriting RecognitionLicense Plate Recognition	CodeCode Available	1
TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network	Dec 24, 2018	Optical Character Recognition (OCR)Text Detection	—Unverified	0
Dynamic Programming Approach to Template-based OCR	Dec 19, 2018	Optical Character Recognition (OCR)Position	—Unverified	0
Pay Voice: Point of Sale Recognition for Visually Impaired People	Dec 14, 2018	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified	0
Deep Reader: Information extraction from Document images via relation extraction and Natural Language	Dec 11, 2018	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified	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