ICDAR2017 competition on document image binarization (DIBCO 2017)

I Pratikakis, K Zagoris, G Barlas… - 2017 14Th IAPR …, 2017 - ieeexplore.ieee.org
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 …

[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 …

EmmDocClassifier: Efficient multimodal document image classifier for scarce data

S Kanchi, A Pagani, H Mokayed, M Liwicki, D Stricker… - Applied Sciences, 2022 - mdpi.com
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 …

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 …

ICDAR 2021 competition on time-quality document image binarization

RD Lins, RB Bernardino, EB Smith… - Document Analysis and …, 2021 - Springer
Abstract The ICDAR 2021 Time-Quality Binarization Competition assessed the performance
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 …

[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 …

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 …

Doceng'2020 time-quality competition on binarizing photographed documents

RD Lins, SJ Simske, RB Bernardino - Proceedings of the ACM …, 2020 - dl.acm.org
Document image binarization is a key process in many document processing platforms. The
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 …