Abstract Optical Character Recognition (OCR) system serves the need of reading text from
images. Script identification that identifies the language of the text in the image is an …

Automatic detection of lung diseases using AI-based tools became very much necessary to
handle the huge number of cases occurring across the globe and support the doctors. This …

Text, as one of humanity's most influential innovations, has played an important role in
shaping our lives. Reading a text is a difficult task due to several reasons factors, such as …

Computational perception has indeed been dramatically modified and reformed from
handcrafted feature-based techniques to the advent of deep learning. Scene text …

The paper addresses an image processing problem in the field of fine arts. In particular, a
deep learning-based technique to classify geometric forms of artworks, such as paintings …

Reading traffic signs while driving a car for visually impaired people and people with visual
problems is a very difficult task for them. This task is encountered every day, sometimes …

Texture or repeating patterns, discriminative patches, and shapes are the salient features for
various document image analysis problems. This article proposes a deep network …

In healthcare, chest X-rays are an inexpensive medical imaging diagnostic tools. The lung
images segmentation from chest X-rays (CXRs) is important for screening and diagnosing …

COVID-19 originally surfaced in Wuhan China quickly propagated over the globe and
become a pandemic. This has had a disastrous consequence for people's regular life …

Real-world images often encompass embedded texts that adhere to disparate disciplines
like business, education, and amusement, to name a few. Such images are graphically rich …