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 1181–1190 of 1209 papers

Title	Date	Tasks	Status
Reranking with Linguistic and Semantic Features for Arabic Optical Character Recognition	Aug 1, 2013	Language ModellingLearning-To-Rank	—Unverified
The mathematics of language learning	Aug 1, 2013	Natural Language InferenceOptical Character Recognition (OCR)	—Unverified
Morphological annotation of Old and Middle Hungarian corpora	Aug 1, 2013	Optical Character Recognition (OCR)	—Unverified
Finite State Approach to the Kazakh Nominal Paradigm	Jul 1, 2013	Morphological AnalysisOptical Character Recognition (OCR)	—Unverified
K-Algorithm A Modified Technique for Noise Removal in Handwritten Documents	Jun 6, 2013	BinarizationOptical Character Recognition (OCR)	—Unverified
Grouping Language Model Boundary Words to Speed K--Best Extraction from Hypergraphs	Jun 1, 2013	Language ModelingLanguage Modelling	—Unverified
Reading Ancient Coin Legends: Object Recognition vs. OCR	Apr 26, 2013	ObjectObject Recognition	—Unverified
Volume Regularization for Binary Classification	Dec 1, 2012	Binary ClassificationClassification	—Unverified
Leveraging Statistical Transliteration for Dictionary-Based English-Bengali CLIR of OCR`d Text	Dec 1, 2012	Information RetrievalOptical Character Recognition (OCR)	—Unverified
A Possibilistic Approach for Automatic Word Sense Disambiguation	Sep 1, 2012	Information RetrievalOptical 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