Degraded historical document binarization: A review on issues, challenges, techniques, and future directions
In this era of digitization, most hardcopy documents are being transformed into digital
formats. In the process of transformation, large quantities of documents are stored and …
formats. In the process of transformation, large quantities of documents are stored and …
Historical document image binarization: A review
This review provides a comprehensive view of the field of historical document image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 …
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 …
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 …
A selectional auto-encoder approach for document image binarization
Binarization plays a key role in the automatic information retrieval from document images.
This process is usually performed in the first stages of document analysis systems, and …
This process is usually performed in the first stages of document analysis systems, and …
Cutting the error by half: Investigation of very deep cnn and advanced training strategies for document image classification
We present an exhaustive investigation of recent Deep Learning architectures, algorithms,
and strategies for the task of document image classification to finally reduce the error by …
and strategies for the task of document image classification to finally reduce the error by …
A novel degraded document binarization model through vision transformer network
M Yang, S Xu - Information Fusion, 2023 - Elsevier
Degraded document binarization has received keen attention due to its vital influence on
subsequent document analysis tasks. In this study, we propose a novel Degraded Document …
subsequent document analysis tasks. In this study, we propose a novel Degraded Document …
An enhanced binarization framework for degraded historical document images
Binarization plays an important role in document analysis and recognition (DAR) systems. In
this paper, we present our winning algorithm in ICFHR 2018 competition on handwritten …
this paper, we present our winning algorithm in ICFHR 2018 competition on handwritten …
Autopart: Automating schema design for large scientific databases using data partitioning
S Papadomanolakis, A Ailamaki - … International Conference on …, 2004 - ieeexplore.ieee.org
Database applications that use multi-terabyte datasets are becoming increasingly important
for scientific fields such as astronomy and biology. Scientific databases are particularly …
for scientific fields such as astronomy and biology. Scientific databases are particularly …
Degraded historical document image binarization using local features and support vector machine (SVM)
W **ong, J Xu, Z **ong, J Wang, M Liu - Optik, 2018 - Elsevier
This paper presents a support vector machine (SVM) based method for degraded historical
document image binarization. Given a degraded historical document image, the proposed …
document image binarization. Given a degraded historical document image, the proposed …