Historical document image binarization: A review
This review provides a comprehensive view of the field of historical document image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 …
A Review of Document Binarization: Main Techniques, New Challenges, and Trends
Z Yang, S Zuo, Y Zhou, J He, J Shi - Electronics, 2024 - mdpi.com
Document image binarization is a challenging task, especially when it comes to text
segmentation in degraded document images. The binarization, as a pre-processing step of …
segmentation in degraded document images. The binarization, as a pre-processing step of …
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 …
De-gan: A conditional generative adversarial network for document enhancement
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 …
DeepOtsu: Document enhancement and binarization using iterative deep learning
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 …
Document image binarization with fully convolutional neural networks
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 …
ICDAR 2013 document image binarization contest (DIBCO 2013)
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 …
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 …
Docentr: An end-to-end document image enhancement transformer
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 …
Docres: a generalist model toward unifying document image restoration tasks
Document image restoration is a crucial aspect of Document AI systems as the quality of
document images significantly influences the overall performance. Prevailing methods …
document images significantly influences the overall performance. Prevailing methods …