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 811–820 of 1209 papers

Title	Date	Tasks	Status
A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem	May 10, 2020	Classificationfeature selection	—Unverified
AI Adoption to Combat Financial Crime: Study on Natural Language Processing in Adverse Media Screening of Financial Services in English and Bangla multilingual interpretation	Dec 12, 2024	Optical Character Recognition (OCR)	—Unverified
AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates	Mar 5, 2025	Anomaly DetectionDefect Detection	—Unverified
A Language Modelling Approach to Quality Assessment of OCR’ed Historical Text	Jun 1, 2022	Language ModelingLanguage Modelling	—Unverified
A Late Multi-Modal Fusion Model for Detecting Hybrid Spam E-mail	Oct 26, 2022	CPUOptical Character Recognition	—Unverified
Align Me: A framework to generate Parallel Corpus Using OCRs and Bilingual Dictionaries	Dec 1, 2016	Active LearningInformation Retrieval	—Unverified
A Linked Data Model for Multimodal Sentiment and Emotion Analysis	Jul 1, 2015	Emotion RecognitionOpinion Mining	—Unverified
A Masked Bounding-Box Selection Based ResNet Predictor for Text Rotation Prediction	Sep 6, 2022	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
A Maximum Entropy Approach to Chinese Spelling Check	Oct 1, 2013	Optical Character Recognition (OCR)	—Unverified
Amazigh Verb Conjugator	May 1, 2014	Optical 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