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 1041–1050 of 1209 papers

Title	Date	Tasks	Status
SEARNN: Training RNNs with Global-Local Losses	Jun 14, 2017	Machine TranslationOptical Character Recognition (OCR)	CodeCode Available
Text Extraction From Texture Images Using Masked Signal Decomposition	Jun 11, 2017	Autonomous DrivingOptical Character Recognition	—Unverified
Traitement des Mots Hors Vocabulaire pour la Traduction Automatique de Document OCRis\'es en Arabe (This article presents a new system that automatically translates images of arabic documents)	Jun 1, 2017	es-enOptical Character Recognition (OCR)	—Unverified
Handwritten Urdu Character Recognition using 1-Dimensional BLSTM Classifier	May 15, 2017	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Derivate-based Component-Trees for Multi-Channel Image Segmentation	May 4, 2017	Image SegmentationOptical Character Recognition (OCR)	—Unverified
The Making of the Royal Society Corpus	May 1, 2017	Optical Character Recognition (OCR)Part-Of-Speech Tagging	—Unverified
Tagging Named Entities in 19th Century and Modern Finnish Newspaper Material with a Finnish Semantic Tagger	May 1, 2017	Named Entity Recognition (NER)Optical Character Recognition (OCR)	—Unverified
OCR and post-correction of historical Finnish texts	May 1, 2017	Optical Character Recognition (OCR)Spelling Correction	—Unverified
Improving Optical Character Recognition of Finnish Historical Newspapers with a Combination of Fraktur \& Antiqua Models and Image Preprocessing	May 1, 2017	Boundary DetectionInformation Retrieval	—Unverified
Applying BLAST to Text Reuse Detection in Finnish Newspapers and Journals, 1771-1910	May 1, 2017	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