Historical document image binarization: A review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This review provides a comprehensive view of the field of historical document image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 …
Binarization of document images: A comprehensive review
WA Mustafa, MMMA Kader - Journal of Physics: Conference …, 2018 - iopscience.iop.org
Document image binarization is one important pre-processing step, especially for data
analysis. Extraction of text from images and its recognition may be challenging due to the …
analysis. Extraction of text from images and its recognition may be challenging due to the …
A new iterative triclass thresholding technique in image segmentation
We present a new method in image segmentation that is based on Otsu's method but
iteratively searches for subregions of the image for segmentation, instead of treating the full …
iteratively searches for subregions of the image for segmentation, instead of treating the full …
Cjt-deo: Condorcet's jury theorem and differential evolution optimization based ensemble of deep neural networks for pulmonary and colorectal cancer classification
Cancer is one of the most dangerous diseases globally, causing adverse effects on human
life, with early detection and treatment planning being crucial for patients. Amongst different …
life, with early detection and treatment planning being crucial for patients. Amongst different …
Assessing threat of adversarial examples on deep neural networks
Deep neural networks are facing a potential security threat from adversarial examples,
inputs that look normal but cause an incorrect classification by the deep neural network. For …
inputs that look normal but cause an incorrect classification by the deep neural network. For …
ICDAR 2021 competition on historical map segmentation
This paper presents the final results of the ICDAR 2021 Competition on Historical Map
Segmentation (MapSeg), encouraging research on a series of historical atlases of Paris …
Segmentation (MapSeg), encouraging research on a series of historical atlases of Paris …
Binarization of document image using optimum threshold modification
WA Mustafa, MMMA Kader - Journal of Physics: Conference …, 2018 - iopscience.iop.org
Document image binarization is one important processing step, especially for data analysis.
In this paper, a new binarization based local thresholding technique'WAN'was presented …
In this paper, a new binarization based local thresholding technique'WAN'was presented …
An improved sauvola approach on document images binarization
Document image binarization is one important processing step, especially for data analysis.
A variable background, non-uniform illumination, and blur give a big challenging task in …
A variable background, non-uniform illumination, and blur give a big challenging task in …
Efficient segmentation algorithm for estimation of revised reservoir capacities in Google earth engine
RK Jaiswal, G Dhruw, S Jain, RV Galkate… - Water Resources …, 2023 - Springer
The periodic assessment of the revised capacity is essential and conventional techniques
through bathymetric surveys and inflow-outflow techniques are time and resource intensive …
through bathymetric surveys and inflow-outflow techniques are time and resource intensive …
Leveraging effectiveness and efficiency in page stream deep segmentation
FA Braz, NC da Silva, JAS Lima - Engineering Applications of Artificial …, 2021 - Elsevier
The separation of documents contained in a page stream is a critical activity in some
segments. That is the case of the Brazilian judiciary system since it is overwhelmed with files …
segments. That is the case of the Brazilian judiciary system since it is overwhelmed with files …