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 971–980 of 1209 papers

Title	Date	Tasks	Status
Pay Voice: Point of Sale Recognition for Visually Impaired People	Dec 14, 2018	Optical Character RecognitionOptical Character Recognition (OCR)	—Unverified
PDFdigest: an Adaptable Layout-Aware PDF-to-XML Textual Content Extractor for Scientific Articles	May 1, 2018	ArticlesNamed Entity Recognition (NER)	—Unverified
PdfTable: A Unified Toolkit for Deep Learning-Based Table Extraction	Sep 8, 2024	Deep LearningDocument Layout Analysis	—Unverified
PDF-to-Text Reanalysis for Linguistic Data Mining	May 1, 2018	Optical Character Recognition (OCR)	—Unverified
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts	May 26, 2023	Information Retrievalnamed-entity-recognition	—Unverified
Persian Handwritten Digit, Character and Word Recognition Using Deep Learning	Oct 24, 2020	Data AugmentationDeep Learning	—Unverified
Pipeline Enabling Zero-shot Classification for Bangla Handwritten Grapheme	Dec 1, 2023	Bangla Text DetectionClassification	—Unverified
Plagiarism Detection in the Bengali Language: A Text Similarity-Based Approach	Mar 25, 2022	Optical Character Recognition (OCR)text similarity	—Unverified
Plague Dot Text: Text mining and annotation of outbreak reports of the Third Plague Pandemic (1894-1952)	Feb 4, 2020	EpidemiologyOptical Character Recognition	—Unverified
Platypus: A Generalized Specialist Model for Reading Text in Various Forms	Aug 27, 2024	Handwritten Text RecognitionOptical Character Recognition (OCR)	—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