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 1071–1080 of 1209 papers

Title	Date	Tasks	Status
DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness	Nov 29, 2024	Optical Character Recognition (OCR)Question Answering	CodeCode Available
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network	Apr 12, 2021	DecoderOptical Character Recognition (OCR)	CodeCode Available
PHD: Pixel-Based Language Modeling of Historical Documents	Oct 22, 2023	Language ModelingLanguage Modelling	CodeCode Available
MaViLS, a Benchmark Dataset for Video-to-Slide Alignment, Assessing Baseline Accuracy with a Multimodal Alignment Algorithm Leveraging Speech, OCR, and Visual Features	Sep 25, 2024	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network	Jun 12, 2019	Optical Character Recognition (OCR)Text Segmentation	CodeCode Available
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks	Oct 1, 2019	3D geometryLocal Distortion	CodeCode Available
Single Classifier-based Passive System for Source Printer Classification using Local Texture Features	Jun 22, 2017	General ClassificationOptical Character Recognition (OCR)	CodeCode Available
Measuring Intersectional Biases in Historical Documents	May 21, 2023	Optical Character RecognitionOptical Character Recognition (OCR)	CodeCode Available
Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language Models	Feb 25, 2025	Optical Character Recognition (OCR)	CodeCode Available
Handwritten Code Recognition for Pen-and-Paper CS Education	Aug 7, 2024	HallucinationLanguage Modeling	CodeCode Available

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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