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
A Novel Machine Learning Based Approach for Post-OCR Error Detection	Sep 1, 2021	BIG-bench Machine LearningOptical Character Recognition	—Unverified
A Novel Method for the Recognition of Isolated Handwritten Arabic Characters	Feb 26, 2014	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
A Novel Pipeline for Improving Optical Character Recognition through Post-processing Using Natural Language Processing	Jul 9, 2023	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
A Novel Transfer Learning Approach upon Hindi, Arabic, and Bangla Numerals using Convolutional Neural Networks	Jul 26, 2017	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
An Unsupervised and Data-Driven Approach for Spell Checking in Vietnamese OCR-scanned Texts	Apr 1, 2012	Optical Character Recognition (OCR)	—Unverified
A Panoramic Survey of Natural Language Processing in the Arab World	Nov 25, 2020	Machine TranslationOptical Character Recognition	—Unverified
A Possibilistic Approach for Automatic Word Sense Disambiguation	Sep 1, 2012	Information RetrievalOptical Character Recognition (OCR)	—Unverified
Applying BLAST to Text Reuse Detection in Finnish Newspapers and Journals, 1771-1910	May 1, 2017	Optical Character Recognition (OCR)	—Unverified
A preliminary study on similarity-preserving digital book identifiers	Jul 1, 2015	Optical Character Recognition (OCR)	—Unverified
A Proposal of Automatic Error Correction in Text	Sep 24, 2021	Information RetrievalLanguage 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	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