Historical document image binarization: A review
C Tensmeyer, T Martinez - SN Computer Science, 2020 - Springer
This review provides a comprehensive view of the field of historical document image
binarization with a focus on the contributions made in the last decade. After the introduction …
binarization with a focus on the contributions made in the last decade. After the introduction …
De-gan: A conditional generative adversarial network for document enhancement
MA Souibgui, Y Kessentini - IEEE Transactions on Pattern …, 2020 - ieeexplore.ieee.org
Documents often exhibit various forms of degradation, which make it hard to be read and
substantially deteriorate the performance of an OCR system. In this paper, we propose an …
substantially deteriorate the performance of an OCR system. In this paper, we propose an …
ICDAR2017 competition on document image binarization (DIBCO 2017)
DIBCO 2017 is the international Competition on Document Image Binarization organized in
conjunction with the ICDAR 2017 conference. The general objective of the contest is to …
conjunction with the ICDAR 2017 conference. The general objective of the contest is to …
ICDAR 2013 document image binarization contest (DIBCO 2013)
I Pratikakis, B Gatos… - 2013 12th International …, 2013 - ieeexplore.ieee.org
DIBCO 2013 is the international Document Image Binarization Contest organized in the
context of ICDAR 2013 conference. The general objective of the contest is to identify current …
context of ICDAR 2013 conference. The general objective of the contest is to identify current …
DeepOtsu: Document enhancement and binarization using iterative deep learning
S He, L Schomaker - Pattern recognition, 2019 - Elsevier
This paper presents a novel iterative deep learning framework and applies it to document
enhancement and binarization. Unlike the traditional methods that predict the binary label of …
enhancement and binarization. Unlike the traditional methods that predict the binary label of …
ICFHR2016 handwritten document image binarization contest (H-DIBCO 2016)
H-DIBCO 2016 is the international Handwritten Document Image Binarization Contest
organized in the context of ICFHR 2016 conference. The general objective of the contest is …
organized in the context of ICFHR 2016 conference. The general objective of the contest is …
Document image binarization with fully convolutional neural networks
C Tensmeyer, T Martinez - 2017 14th IAPR international …, 2017 - ieeexplore.ieee.org
Binarization of degraded historical manuscript images is an important pre-processing step
for many document processing tasks. We formulate binarization as a pixel classification …
for many document processing tasks. We formulate binarization as a pixel classification …
Binarization of degraded document images based on hierarchical deep supervised network
The binarization of degraded document images is a challenging problem in terms of
document analysis. Binarization is a classification process in which intra-image pixels are …
document analysis. Binarization is a classification process in which intra-image pixels are …
Docentr: An end-to-end document image enhancement transformer
MA Souibgui, S Biswas, SK Jemni… - 2022 26th …, 2022 - ieeexplore.ieee.org
Document images can be affected by many degradation scenarios, which cause recognition
and processing difficulties. In this age of digitization, it is important to denoise them for …
and processing difficulties. In this age of digitization, it is important to denoise them for …
Enhance to read better: a multi-task adversarial network for handwritten document image enhancement
Handwritten document images can be highly affected by degradation for different reasons:
Paper ageing, daily-life scenarios (wrinkles, dust, etc.), bad scanning process and so on …
Paper ageing, daily-life scenarios (wrinkles, dust, etc.), bad scanning process and so on …