Bayesian damage recognition in document images based on a joint global and local homogeneity model-Reference-Cited by-同舟云学术

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Bayesian damage recognition in document images based on a joint global and local homogeneity model

Published:2021-10 Issue: Volume:118 Page:108034
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Lu Tan^ORCID,Dooms Ann^ORCID

Funder

Belgian Science Policy

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference38 articles.

1. The IMPACT dataset of historical document images;Papadopoulos,2013

2. Navigating the storm: IMPACT, eMOP, and agile steering standards;Mandell;Digit. Scholarsh. Humanit.,2015

3. Making Europe’s historical newspapers searchable;Neudecker,2016

4. Hyperspectral document image processing: applications, challenges and future prospects;Qureshi;Pattern Recognit.,2019

5. A study of historical documents denoising;Chen,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Document Image Understanding Computational Image Processing in the Cultural Heritage Sector;IEEE BITS the Information Theory Magazine;2022

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