Document layout analysis (DLA) is a preprocessing step of document understanding
systems. It is responsible for detecting and annotating the physical structure of documents …

In document image analysis, segmentation is the task that identifies the regions of a
document. The increasing number of applications of document analysis requires a good …

Document layout analysis usually relies on computer vision models to understand
documents while ignoring textual information that is vital to capture. Meanwhile, high quality …

Automatic document layout analysis is a crucial step in cognitive computing and processes
that extract information out of document images, such as specific-domain knowledge …

Separation of text and non-text is an essential processing step for any document analysis
system. Therefore, it is important to have a clear understanding of the state-of-the-art of …

Page layout analysis is a fundamental step of any document image understanding system.
We introduce an approach that segments text appearing in page margins (aka side-notes …

Identifying the source printer of a document is important in forgery detection. The larger the
number of documents to be investigated for forgery, the less time-efficient manual …

Document image segmentation is crucial to OCR and other digitization processes. In this
paper, we present a learning-based approach for text and non-text separation in document …

Page segmentation into text and non-text elements is an essential preprocessing step
before optical character recognition (OCR) operation. In case of poor segmentation, an OCR …

Document layout analysis (DLA) is an irreplaceable pre-requisite for the development of a
comprehensive document image processing and analysis system. The main purpose of DLA …