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 251–260 of 1209 papers

Title	Date	Tasks	Status	Hype
ChatSchema: A pipeline of extracting structured information with Large Multimodal Models based on schema	Jul 26, 2024	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified	0
VILA^2: VILA Augmented VILA	Jul 24, 2024	HallucinationOptical Character Recognition (OCR)	—Unverified	0
PLayerTV: Advanced Player Tracking and Identification for Automatic Soccer Highlight Clips	Jul 22, 2024	object-detectionObject Detection	—Unverified	0
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction	Jul 22, 2024	Data AugmentationOptical Character Recognition (OCR)	—Unverified	0
Braille-to-Speech Generator: Audio Generation Based on Joint Fine-Tuning of CLIP and Fastspeech2	Jul 19, 2024	Audio GenerationAudio Synthesis	—Unverified	0
Qalam : A Multimodal LLM for Arabic Optical Character and Handwriting Recognition	Jul 18, 2024	DecoderHandwriting Recognition	—Unverified	0
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding	Jul 17, 2024	document understandingOptical Character Recognition (OCR)	CodeCode Available	1
Resolving Sentiment Discrepancy for Multimodal Sentiment Detection via Semantics Completion and Decomposition	Jul 9, 2024	Contrastive LearningOptical Character Recognition (OCR)	—Unverified	0
Spanish TrOCR: Leveraging Transfer Learning for Language Adaptation	Jul 9, 2024	DecoderImage Generation	CodeCode Available	0
High-Throughput Phenotyping using Computer Vision and Machine Learning	Jul 8, 2024	Image SegmentationOptical Character Recognition	CodeCode Available	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