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 791–800 of 1209 papers

Title	Date	Tasks	Status
It Takes Two to Tango: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports	Jan 22, 2021	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection	Jan 9, 2021	Information RetrievalOptical Character Recognition (OCR)	CodeCode Available
Robust Text CAPTCHAs Using Adversarial Examples	Jan 7, 2021	Adversarial AttackOptical Character Recognition (OCR)	—Unverified
On-Device Document Classification using multimodal features	Jan 6, 2021	ClassificationDocument Classification	—Unverified
End-to-End Piece-Wise Unwarping of Document Images	Jan 1, 2021	MS-SSIMOptical Character Recognition (OCR)	—Unverified
BROS: A Pre-trained Language Model for Understanding Texts in Document	Jan 1, 2021	DecoderDiversity	—Unverified
NOSE Augment: Fast and Effective Data Augmentation Without Searching	Jan 1, 2021	Data AugmentationDiversity	—Unverified
ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition	Dec 23, 2020	DecoderOptical Character Recognition	—Unverified
Named Entity Recognition in the Legal Domain using a Pointer Generator Network	Dec 17, 2020	named-entity-recognitionNamed Entity Recognition	—Unverified
Indonesian ID Card Extractor Using Optical Character Recognition and Natural Language Post-Processing	Dec 15, 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	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