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Optical Character Recognition

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Showing 326–350 of 526 papers

TitleStatusHype
Handwritten Digit Recognition Using Improved Bounding Box Recognition Technique—0
Named Entity Recognition in Historic Legal Text: A Transformer and State Machine Ensemble Method—0
BART for Post-Correction of OCR Newspaper Text—0
Cleaning Dirty Books: Post-OCR Processing for Previously Scanned TextsCode0
Optical Character Recognition of 19th Century Classical Commentaries: the Current State of AffairsCode0
A Proposal of Automatic Error Correction in Text—0
Deep learning-based NLP Data Pipeline for EHR Scanned Document Information Extraction—0
OCR Processing of Swedish Historical Newspapers Using Deep Hybrid CNN–LSTM Networks—0
A Novel Machine Learning Based Approach for Post-OCR Error Detection—0
A Multimodal Framework for Video Ads Understanding—0
Localize, Group, and Select: Boosting Text-VQA by Scene Text Modeling—0
VisBuddy -- A Smart Wearable Assistant for the Visually Challenged—0
An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention—0
Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences—0
Classification of Documents Extracted from Images with Optical Character Recognition Methods—0
Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning—0
PAM: Understanding Product Images in Cross Product Category Attribute Extraction—0
Classification of Contract-Amendment Relationships—0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
Empirical Error Modeling Improves Robustness of Noisy Neural Sequence LabelingCode0
Simple Transparent Adversarial Examples—0
End-to-End Unsupervised Document Image Blind Denoising—0
STRIDE : Scene Text Recognition In-Device—0
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning—0
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text—0
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