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

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Showing 941–950 of 1209 papers

Title	Date	Tasks	Status
A Scalable Handwritten Text Recognition System	Apr 19, 2019	Handwriting RecognitionHandwritten Text Recognition	—Unverified
An Ensemble of Neural Networks for Non-Linear Segmentation of Overlapped Cursive Script	Apr 7, 2019	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Diversified Hidden Markov Models for Sequential Labeling	Apr 5, 2019	DiversityOptical Character Recognition	—Unverified
Automatic Classification of Pathology Reports using TF-IDF Features	Mar 5, 2019	ClassificationDiagnostic	—Unverified
Convolutional Neural Networks for Automatic Meter Reading	Feb 25, 2019	Counter RecognitionData Augmentation	—Unverified
OCR evaluation tools for the 21st century	Feb 1, 2019	Optical Character Recognition (OCR)	—Unverified
Multikernel activation functions: formulation and a case study	Jan 29, 2019	Optical Character Recognition (OCR)	—Unverified
SAML-QC: a Stochastic Assessment and Machine Learning based QC technique for Industrial Printing	Jan 18, 2019	BIG-bench Machine LearningOptical Character Recognition	—Unverified
A Multi-Object Rectified Attention Network for Scene Text Recognition	Jan 10, 2019	DecoderObject	CodeCode Available
Lipi Gnani - A Versatile OCR for Documents in any Language Printed in Kannada Script	Jan 2, 2019	BinarizationOptical 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