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 1171–1180 of 1209 papers

Title	Date	Tasks	Status
Extraction of Line Word Character Segments Directly from Run Length Compressed Printed Text Documents	Mar 30, 2014	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
A Novel Method for the Recognition of Isolated Handwritten Arabic Characters	Feb 26, 2014	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Bangla Text Recognition from Video Sequence: A New Focus	Jan 6, 2014	BinarizationOptical Character Recognition (OCR)	—Unverified
Learning Adaptive Value of Information for Structured Prediction	Dec 1, 2013	feature selectionModel Selection	—Unverified
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures	Dec 1, 2013	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Sinica-IASL Chinese spelling check system at Sighan-7	Oct 1, 2013	Optical Character Recognition (OCR)	—Unverified
A Maximum Entropy Approach to Chinese Spelling Check	Oct 1, 2013	Optical Character Recognition (OCR)	—Unverified
Categorizing ancient documents	Aug 28, 2013	Handwriting RecognitionOptical Character Recognition (OCR)	—Unverified
Multi-Task Learning for Improved Discriminative Training in SMT	Aug 1, 2013	Machine TranslationMulti-Task Learning	—Unverified
Unsupervised Transcription of Historical Documents	Aug 1, 2013	Optical Character Recognition (OCR)	—Unverified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