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 1021–1030 of 1209 papers

Title	Date	Tasks	Status
CryptoDL: Deep Neural Networks over Encrypted Data	Nov 14, 2017	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
AON: Towards Arbitrarily-Oriented Text Recognition	Nov 12, 2017	DecoderOptical Character Recognition	CodeCode Available
Generating a Training Corpus for OCR Post-Correction Using Encoder-Decoder Model	Nov 1, 2017	DecoderLanguage Modeling	—Unverified
Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features	Oct 9, 2017	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Linear-Time Sequence Classification using Restricted Boltzmann Machines	Oct 6, 2017	ChunkingClassification	—Unverified
A Survey on Optical Character Recognition System	Oct 3, 2017	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
A Diachronic Corpus for Romanian (RoDia)	Sep 1, 2017	Information RetrievalOptical Character Recognition (OCR)	—Unverified
Multi-modular domain-tailored OCR post-correction	Sep 1, 2017	DiversityMachine Translation	—Unverified
Improving Document Clustering by Removing Unnatural Language	Sep 1, 2017	ClusteringDocument Layout Analysis	—Unverified
Transliterated Mobile Keyboard Input via Weighted Finite-State Transducers	Sep 1, 2017	Language ModelingLanguage Modelling	—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