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 601–610 of 1209 papers

Title	Date	Tasks	Status
Derivate-based Component-Trees for Multi-Channel Image Segmentation	May 4, 2017	Image SegmentationOptical Character Recognition (OCR)	—Unverified
Design and Development of a Framework For Stroke-Based Handwritten Gujarati Font Generation	Apr 4, 2024	Font GenerationOptical Character Recognition (OCR)	—Unverified
Design and Implementation of an OCR-Powered Pipeline for Table Extraction from Invoices	Jul 9, 2025	Boundary DetectionOptical Character Recognition (OCR)	—Unverified
Detecting de minimis Code-Switching in Historical German Books	Dec 1, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
D\'etection d'erreurs dans des transcriptions OCR de documents historiques par r\'eseaux de neurones r\'ecurrents multi-niveau (Combining character level and word level RNNs for post-OCR error detection)	May 1, 2018	Optical Character Recognition (OCR)	—Unverified
Detection Masking for Improved OCR on Noisy Documents	May 17, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition	May 13, 2021	Optical Character Recognition (OCR)Scene Text Recognition	—Unverified
Recognition of Images of Korean Characters Using Embedded Networks	Nov 11, 2019	Optical Character Recognition (OCR)	—Unverified
Recognition of Text Image Using Multilayer Perceptron	Dec 2, 2016	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Recommending Scientific Videos based on Metadata Enrichment using Linked Open Data	Jun 19, 2018	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