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 971–980 of 1209 papers

Title	Date	Tasks	Status
License Plate Detection and Recognition in Unconstrained Scenarios	Sep 1, 2018	License Plate DetectionLicense Plate Recognition	CodeCode Available
Indigenous language technologies in Canada: Assessment, challenges, and successes	Aug 1, 2018	Machine TranslationOptical Character Recognition	—Unverified
Local String Transduction as Sequence Labeling	Aug 1, 2018	LemmatizationMachine Translation	—Unverified
Towards an Automatic Classification of Illustrative Examples in a Large Japanese-French Dictionary Obtained by OCR	Aug 1, 2018	General ClassificationMachine Translation	—Unverified
CG-DIQA: No-reference Document Image Quality Assessment Based on Character Gradient	Jul 11, 2018	Document Image Quality AssessmentImage Quality Assessment	—Unverified
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs	Jul 11, 2018	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available
Sum-Product Networks for Sequence Labeling	Jul 6, 2018	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition	Jul 5, 2018	GPUOptical Character Recognition	CodeCode Available
Multi-Input Attention for Unsupervised OCR Correction	Jul 1, 2018	DecoderOptical Character Recognition (OCR)	—Unverified
ASTER: An Attentional Scene Text Recognizer with Flexible Rectification	Jun 25, 2018	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available

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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