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 841–850 of 1209 papers

Title	Date	Tasks	Status
How Much Data Do You Need? About the Creation of a Ground Truth for Black Letter and the Effectiveness of Neural OCR	May 1, 2020	Handwritten Text RecognitionHTR	—Unverified
Time-Aware Word Embeddings for Three Lebanese News Archives	May 1, 2020	Optical Character Recognition (OCR)Word Embeddings	CodeCode Available
Building OCR/NER Test Collections	May 1, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Constructing a Public Meeting Corpus	May 1, 2020	Optical Character Recognition (OCR)	—Unverified
Preserving Semantic Information from Old Dictionaries: Linking Senses of the `Altfranz\"osisches W\"orterbuch' to WordNet	May 1, 2020	Optical Character Recognition (OCR)	—Unverified
OdiEnCorp 2.0: Odia-English Parallel Corpus for Machine Translation	May 1, 2020	Machine TranslationNMT	—Unverified
MatriVasha: A Multipurpose Comprehensive Database for Bangla Handwritten Compound Characters	Apr 29, 2020	Handwriting RecognitionOptical Character Recognition (OCR)	—Unverified
A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition	Apr 27, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available
A Tool for Facilitating OCR Postediting in Historical Documents	Apr 23, 2020	Language ModelingLanguage Modelling	CodeCode Available
Image Processing Based Scene-Text Detection and Recognition with Tesseract	Apr 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 105M	Accuracy (%)	89.6	—	Unverified
2	DTrOCR	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