Optical character recognition (OCR) is the process of extracting handwritten or printed text
from a scanned or printed image and converting it to a machine-readable form for further …

Automated recognition of handwritten characters and digits is a challenging task. Although a
significant amount of literature exists for automatic recognition of handwritten characters of …

In this paper, we propose a novel approach to address the challenges of printed Urdu text
recognition using high-resolution, multi-scale semantic feature extraction. Our proposed …

Text Spotting is the union of the tasks of detection and transcription of the text that is present
in images. Due to the various problems often found when retrieving text, such as orientation …

Few shot models have started to gain a lot of popularity in the past few years. This is mostly
because these models grant the ability to structure the representation space (classes) using …

Recognition of Arabic-like scripts such as Persian and Urdu is more challenging than Latin-
based scripts. This is due to the presence of a two-dimensional structure, context-dependent …

Urdu Nastaliq script is a cursive and ligature-based script that is very difficult to recognize
and detect using current computer algorithms dues to its complicated writing structure …

Handwritten text recognition is an active research area in the field of deep learning and
artificial intelligence to convert handwritten text into machine-understandable. A lot of work …

Automatic Urdu handwritten text recognition is a challenging task in the OCR industry.
Unlike printed text, Urdu handwriting lacks a uniform font and structure. This lack of …

Handwriting is one of the basic skills crucial in communication and early childhood
development. It plays a major role in the psychomotor and cognitive growth of children …