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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 …
[PDF][PDF] Binarization Methods in Multimedia Systems when Recognizing License Plates of Cars
AJA Tahseen, S Sotnik, T Sinelnikova, V Lyashenko - 2023 - openarchive.nure.ua
Анотація This work is aimed at analyzing methods of binarization in multimedia systems
when recognizing license plates of cars. In order to carry out binarization license plates …
when recognizing license plates of cars. In order to carry out binarization license plates …
EmmDocClassifier: Efficient multimodal document image classifier for scarce data
Document classification is one of the most critical steps in the document analysis pipeline.
There are two types of approaches for document classification, known as image-based and …
There are two types of approaches for document classification, known as image-based and …
A quality, size and time assessment of the binarization of documents photographed by smartphones
R Bernardino, RD Lins, RS Barboza - Journal of Imaging, 2023 - mdpi.com
Smartphones with an in-built camera are omnipresent today in the life of over eighty percent
of the world's population. They are very often used to photograph documents. Document …
of the world's population. They are very often used to photograph documents. Document …
ICDAR 2021 competition on time-quality document image binarization
Abstract The ICDAR 2021 Time-Quality Binarization Competition assessed the performance
of 12 new and 49 other previously published binarization algorithms for scanned document …
of 12 new and 49 other previously published binarization algorithms for scanned document …
Quality, space and time competition on binarizing photographed document images
RD Lins, G de F. Pe Silva, GP Chaves… - Proceedings of the …, 2023 - dl.acm.org
Document image binarization is a fundamental step in many document processes. No
binarization algorithm performs well on all types of document images, as the different kinds …
binarization algorithm performs well on all types of document images, as the different kinds …
[HTML][HTML] Using paper texture for choosing a suitable algorithm for scanned document image binarization
RD Lins, R Bernardino, RS Barboza, RC De Oliveira - Journal of Imaging, 2022 - mdpi.com
The intrinsic features of documents, such as paper color, texture, aging, translucency, the
kind of printing, ty** or handwriting, etc., are important with regard to how to process and …
kind of printing, ty** or handwriting, etc., are important with regard to how to process and …
A two-stage unsupervised deep learning framework for degradation removal in ancient documents
MO Tamrin, M El-Amine Ech-Cherif… - Pattern Recognition. ICPR …, 2021 - Springer
Processing historical documents is a complicated task in computer vision due to the
presence of degradation, which decreases the performance of Machine Learning models …
presence of degradation, which decreases the performance of Machine Learning models …
Doceng'2020 time-quality competition on binarizing photographed documents
Document image binarization is a key process in many document processing platforms. The
DocEng'2020 Time-Quality Competition on Binarizing Photographed Documents assessed …
DocEng'2020 Time-Quality Competition on Binarizing Photographed Documents assessed …
The winner takes it all: Choosing the “best” binarization algorithm for photographed documents
RD Lins, RB Bernardino, R Barboza… - International Workshop on …, 2022 - Springer
Abstract The recent Time-Quality Binarization Competitions have shown that no single
binarization algorithm is good for all kinds of document images and that the time elapsed in …
binarization algorithm is good for all kinds of document images and that the time elapsed in …