Restoration of Arbitrarily Warped Historical Document Images Using Flow Lines

2011 International Conference on Document Analysis and Recognition ◽

10.1109/icdar.2011.184 ◽

2011 ◽

Cited By ~ 2

Author(s):

Maryam Rahnemoonfar ◽

Apostolos Antonacopoulos

Keyword(s):

Document Images ◽

Historical Document ◽

Flow Lines

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The use of Gabor features for semi-automatically generated polyon-based ground truth of historical document images

Digital Scholarship in the Humanities ◽

10.1093/llc/fqx012 ◽

2017 ◽

Vol 32 (suppl_1) ◽

pp. i134-i149 ◽

Cited By ~ 2

Author(s):

Hao Wei ◽

Mathias Seuret ◽

Marcus Liwicki ◽

Rolf Ingold

Keyword(s):

Ground Truth ◽

Document Images ◽

Historical Document ◽

Gabor Features

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Cleaning and Enhancing Historical Document Images

Advanced Concepts for Intelligent Vision Systems - Lecture Notes in Computer Science ◽

10.1007/11558484_86 ◽

2005 ◽

pp. 681-688 ◽

Cited By ~ 9

Author(s):

Ergina Kavallieratou ◽

Hera Antonopoulou

Keyword(s):

Document Images ◽

Historical Document

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Text Line Segmentation in Historical Document Images Using an Adaptive U-Net Architecture

2019 International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2019.00066 ◽

2019 ◽

Cited By ~ 5

Author(s):

Olfa Mechi ◽

Maroua Mehri ◽

Rolf Ingold ◽

Najoua Essoukri Ben Amara

Keyword(s):

Text Line ◽

Document Images ◽

Historical Document ◽

Text Line Segmentation ◽

Line Segmentation

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Restoration of Historical Document Images Using Convolutional Neural Networks

2019 IEEE Region 10 Symposium (TENSYMP) ◽

10.1109/tensymp46218.2019.8971112 ◽

2019 ◽

Author(s):

Poulami Raha ◽

Bhabatosh Chanda

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Document Images ◽

Historical Document

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Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images

2018 13th IAPR International Workshop on Document Analysis Systems (DAS) ◽

10.1109/das.2018.39 ◽

2018 ◽

Cited By ~ 11

Author(s):

Christoph Wick ◽

Frank Puppe

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Document Images ◽

Historical Document ◽

Page Segmentation ◽

Fully Convolutional Neural Networks

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Text line extraction for historical document images

Pattern Recognition Letters ◽

10.1016/j.patrec.2013.07.007 ◽

2014 ◽

Vol 35 ◽

pp. 23-33 ◽

Cited By ~ 44

Author(s):

Raid Saabni ◽

Abedelkadir Asi ◽

Jihad El-Sana

Keyword(s):

Text Line ◽

Document Images ◽

Historical Document ◽

Line Extraction ◽

Text Line Extraction

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Decompose-Threshold Approach to Handwriting Extraction in Degraded Historical Document Images

Ninth International Workshop on Frontiers in Handwriting Recognition ◽

10.1109/iwfhr.2004.33 ◽

2004 ◽

Cited By ~ 1

Author(s):

Chen Yan ◽

G. Leedham

Keyword(s):

Document Images ◽

Historical Document ◽

Threshold Approach

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Adaptive Enhancement of Historical Document Images

2007 IEEE International Symposium on Signal Processing and Information Technology ◽

10.1109/isspit.2007.4458058 ◽

2007 ◽

Author(s):

N. Krishna Kishore ◽

Priti P. Rege

Keyword(s):

Document Images ◽

Historical Document ◽

Adaptive Enhancement

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Text extraction from gray scale historical document images using adaptive local connectivity map

Eighth International Conference on Document Analysis and Recognition (ICDAR'05) ◽

10.1109/icdar.2005.229 ◽

2005 ◽

Cited By ~ 9

Author(s):

Zhixin Shi ◽

S. Setlur ◽

V. Govindaraju

Keyword(s):

Document Images ◽

Historical Document ◽

Local Connectivity ◽

Gray Scale ◽

Connectivity Map ◽

Text Extraction

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Decompose algorithm for thresholding degraded historical document images

IEE Proceedings - Vision Image and Signal Processing ◽

10.1049/ip-vis:20045054 ◽

2005 ◽

Vol 152 (6) ◽

pp. 702 ◽

Cited By ~ 28

Author(s):

Y. Chen ◽

G. Leedham

Keyword(s):

Document Images ◽

Historical Document

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