In computer terminology, mining is considered as extracting meaningful information or
knowledge from a large amount of data/information using computers. The meaningful …

Graphical texts in natural images play an important role in portraying information in
multitudinous fields such as communication, education, and entertainment to name a few …

The use of deep learning approaches in image classification and recognition tasks is
growing rapidly and gaining huge importance in research due to the great enhancement …

Ischemic stroke lesion segmentation using different types of images, such as Computed
Tomography Perfusion (CTP), is important for medical and Artificial intelligence fields. These …

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

The prevalence of world-wide access to the Internet has come at a cost. A lot of misleading
information is posted on public news websites and social media. Many news writers and …

Although numerous studies have been conducted on handwritten recognition, there is little
and non-optimal research on Javanese script recognition due to its limitation to basic …

Handwriting recognition is one of the most interesting researches in computer vision. Some
previous research has developed and implemented Javanese script recognition in digital …

Detection and language identification of texts in an unconstrained scene image are
quintessential processes in the multimedia information retrieval domain. Over the years …

This paper proposed LONTAR_DETC, a method to detect handwritten Balinese characters
in Lontar manuscripts. LONTAR_DETC is a deep learning architecture based on YOLO. The …