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 861–870 of 1209 papers

Title	Date	Tasks	Status
Meme Sentiment Analysis Enhanced with Multimodal Spatial Encoding and Facial Embedding	Mar 3, 2023	Optical Character Recognition (OCR)Position	—Unverified
Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset	Jul 9, 2021	Optical Character Recognition (OCR)	—Unverified
MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model	Oct 15, 2022	Food recommendationLearning-To-Rank	—Unverified
Mero Nagarikta: Advanced Nepali Citizenship Data Extractor with Deep Learning-Powered Text Detection and OCR	Oct 8, 2024	object-detectionObject Detection	—Unverified
MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion	Aug 1, 2021	Optical Character Recognition (OCR)Propaganda detection	—Unverified
Mind the Gap: Analyzing Lacunae with Transformer-Based Transcription	Jun 28, 2024	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning	May 12, 2021	Active LearningOptical Character Recognition	—Unverified
MIRAGE: Multimodal Identification and Recognition of Annotations in Indian General Prescriptions	Oct 13, 2024	Handwriting RecognitionOptical Character Recognition	—Unverified
Mitigating Noisy Inputs for Question Answering	Aug 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning	Jun 15, 2021	Data AugmentationOptical Character Recognition	—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