Given the vast range of factors, including shape, size, skew, and orientation of handwritten
numerals, their machine-based recognition is a difficult challenge for researchers in the …

Arabic handwritten script recognition presents an energetic area of study. These types of
recognitions face several obstacles, such as vast open databases, boundless diversity in …

The soil packing, influenced by variations in grain size and the gradation pattern within the
soil matrix, plays a crucial role in constituting the mechanical properties of sandy soils …

Handwritten character recognition (HCR) has become a growing research, owing to its
several applications in processing the images, recognizing the patterns, communication …

Abstract Handwritten Alphabet Recognition can be defined as the way of detecting
characters from images of Handwritten language alphabets. This is one of the important …

Human activity recognition (HAR) is an increasingly active study field within the computer
vision community. In HAR, driver behavior can be detected to ensure safe travel. Detect …

Handwritten character recognition (HCR) is a critical component of diverse applications,
especially in multilingual regions such as India. Despite technological advancements …

Text recognition from the Tamil Digital handwritten alphabet is challenging for researchers.
Recognition systems face numerous challenges, such as more bends, curves, and rings …

Diabetic Retinopathy (DR) is a major source of sightlessness and permanent visual
damage. Manual Analysis of DR is a labor-intensive and costly task that requires skilled …

Ancient manuscripts have long been valued cultural and historical objects, offering a unique
view into the past. However, many manuscripts have been damaged by natural decay …