Document layout analysis: a comprehensive survey
Document layout analysis (DLA) is a preprocessing step of document understanding
systems. It is responsible for detecting and annotating the physical structure of documents …
systems. It is responsible for detecting and annotating the physical structure of documents …
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 …
CBCapsNet: A novel writer-independent offline signature verification model using a CNN-based architecture and capsule neural networks
Offline Signature verification is a biometric method with important applications in financial,
legal and administrative procedures. The verification process includes comparing the …
legal and administrative procedures. The verification process includes comparing the …
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 …
Enhance to read better: a multi-task adversarial network for handwritten document image enhancement
Handwritten document images can be highly affected by degradation for different reasons:
Paper ageing, daily-life scenarios (wrinkles, dust, etc.), bad scanning process and so on …
Paper ageing, daily-life scenarios (wrinkles, dust, etc.), bad scanning process and so on …
Complex image processing with less data—Document image binarization by integrating multiple pre-trained U-Net modules
Artificial neural networks have been shown significant performance in various image-to-
image conversion tasks. However, complex conversions often require a large number of …
image conversion tasks. However, complex conversions often require a large number of …
Two-stage generative adversarial networks for binarization of color document images
Document image enhancement and binarization methods are often used to improve the
accuracy and efficiency of document image analysis tasks such as text recognition …
accuracy and efficiency of document image analysis tasks such as text recognition …
A set of benchmarks for handwritten text recognition on historical documents
Abstract Handwritten Text Recognition is a important requirement in order to make visible
the contents of the myriads of historical documents residing in public and private archives …
the contents of the myriads of historical documents residing in public and private archives …
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 …
Document image binarization with cascaded generators of conditional generative adversarial networks
J Zhao, C Shi, F Jia, Y Wang, B **ao - Pattern Recognition, 2019 - Elsevier
Binarization is often the first step in many document analysis tasks and plays a key role in
the subsequent steps. In this paper, we formulate binarization as an image-to-image …
the subsequent steps. In this paper, we formulate binarization as an image-to-image …