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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 861–870 of 1209 papers

Title	Date	Tasks	Status
MatriVasha: A Multipurpose Comprehensive Database for Bangla Handwritten Compound Characters	Apr 29, 2020	Handwriting RecognitionOptical Character Recognition (OCR)	—Unverified
A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition	Apr 27, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available
A Tool for Facilitating OCR Postediting in Historical Documents	Apr 23, 2020	Language ModelingLanguage Modelling	CodeCode Available
Image Processing Based Scene-Text Detection and Recognition with Tesseract	Apr 17, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
Object Detection and Recognition of Swap-Bodies using Camera mounted on a Vehicle	Apr 17, 2020	Data Augmentationobject-detection	—Unverified
An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers	Apr 15, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available
Sparse Concept Coded Tetrolet Transform for Unconstrained Odia Character Recognition	Apr 3, 2020	Optical Character Recognition (OCR)	—Unverified
Towards Accurate Scene Text Recognition with Semantic Reasoning Networks	Mar 27, 2020	Optical Character Recognition (OCR)Scene Text Recognition	—Unverified
Real-time information retrieval from Identity cards	Mar 26, 2020	Face DetectionInformation Retrieval	—Unverified
TextCaps: a Dataset for Image Captioning with Reading Comprehension	Mar 24, 2020	Image CaptioningOptical Character Recognition	—Unverified

Show:10 25 50

← PrevPage 87 of 121Next →

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