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Optical Character Recognition

Papers

Showing 76100 of 526 papers

TitleStatusHype
Geometry Restoration and Dewarping of Camera-Captured Document ImagesCode1
Data Generation for Post-OCR correction of Cyrillic handwritingCode1
hmBERT: Historical Multilingual Language Models for Named Entity RecognitionCode1
CORU: Comprehensive Post-OCR Parsing and Receipt Understanding DatasetCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documentsCode1
LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?Code1
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationCode1
A Large Multi-Target Dataset of Common Bengali Handwritten GraphemesCode1
Enhancing License Plate Super-Resolution: A Layout-Aware and Character-Driven ApproachCode1
Boosting on the shoulders of giants in quantum device calibrationCode1
Let's Enhance: A Deep Learning Approach to Extreme Deblurring of Text ImagesCode1
RUArt: A Novel Text-Centered Solution for Text-Based Visual Question AnsweringCode1
A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends0
A survey of modern optical character recognition techniques0
Ancient but Digitized: Developing Handwritten Optical Character Recognition for East Syriac Script Through Creating KHAMIS Dataset0
A Study of Sindhi Related and Arabic Script Adapted languages Recognition0
Advancing Visual Specification of Code Requirements for Graphs0
Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with VehiclePaliGemma0
An Assessment of the Impact of OCR Noise on Language Models0
Abstractive Information Extraction from Scanned Invoices (AIESI) using End-to-end Sequential Approach0
Artificial neural networks and fuzzy logic for recognizing alphabet characters and mathematical symbols0
Artificial Eye for the Blind0
An accurate and revised version of optical character recognition-based speech synthesis using LabVIEW0
Confidence-Aware Document OCR Error Detection0
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