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

Extraction text from degraded historical document images (DHDI) poses a significant
challenge's. However, it plays a vital role in uncovering valuable and meaningful information …

This work presents a two-stage text line detection method for historical documents. Each
detected text line is represented by its baseline. In a first stage, a deep neural network called …

Many researchers have observed that TCP's congestion control mechanisms can lead to
bursty traffic flows on modern high-speed networks, with a negative impact on overall …

Binarization plays a key role in the automatic information retrieval from document images.
This process is usually performed in the first stages of document analysis systems, and …

In the Fourth Industrial Revolution, artificial intelligence technology and big data science are
emerging rapidly. To apply these informational technologies to the engineering industries, it …

Abstract We use the Rectangle Histogram Oriented Gradient representation as the basis for
extraction of features. These algorithms require a few simple arithmetic operations per …

Text line detection is crucial for any application associated with Automatic Text Recognition
or Keyword Spotting. Modern algorithms perform good on well-established datasets since …

On most document image transcription, indexing and retrieval systems, text line
segmentation remains one of the most important preliminary task. Hence, the research …

Textline segmentation in ancient handwritten documents is still considered as a challenging
task in document analysis and recognition field even though various rule-based methods …