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	Hype
Optical Character Recognition, Word Segmentation, Sentence Segmentation, and Information Extraction for Historical and Literature Texts in Classical Chinese	Sep 1, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified	0
EASTER: Efficient and Scalable Text Recognizer	Aug 18, 2020	BenchmarkingHandwritten Text Recognition	—Unverified	0
On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation	Aug 6, 2020	BinarizationData Augmentation	—Unverified	0
Can You Read Me Now? Content Aware Rectification using Angle Supervision	Aug 5, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified	0
Weakly Supervised Construction of ASR Systems with Massive Video Data	Aug 4, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension	Aug 1, 2020	Decoderglobal-optimization	—Unverified	0
Advancing Visual Specification of Code Requirements for Graphs	Jul 29, 2020	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified	0
Adapting OCR with limited supervision	Jul 27, 2020	Optical Character Recognition (OCR)	CodeCode Available	1
Spatially Aware Multimodal Transformers for TextVQA	Jul 23, 2020	Optical Character Recognition (OCR)Spatial Reasoning	CodeCode Available	1
Deep Learning Based Traffic Surveillance System For Missing and Suspicious Car Detection	Jul 17, 2020	Generative Adversarial NetworkOptical Character Recognition	—Unverified	0

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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