Handwritten Urdu character recognition system faces several challenges including the writer-
dependent variations and non-availability of benchmark databases for cursive writing …

Work on the problem of handwritten text recognition in Urdu script has been an active
research area. A significant progress is made in this interesting and challenging field in the …

This paper presents a recognition system for handwritten Pashto letters. However,
handwritten character recognition is a challenging task. These letters not only differ in shape …

From last decade, machine learning (ML) techniques have been used for Urdu text
processing. Due to lack of language resources, potential of deep learning (DL) models have …

This paper gives an across-the-board comprehensive review and survey of the most
prominent studies in the field of Urdu optical character recognition (OCR). This paper …

Regional and cultural diversities around the world have given birth to a large number of
writing systems and scripts, which consist of varying character sets. Developing an optimal …

News ticker recognition is a vital area of research due to its applications such as information
analysis, opinion mining and language translation for media regulatory authorities. Without …

Urdu is a widely spoken and narrated language in several South-Asian countries and
communities worldwide. It is relatively hard to recognize Urdu text compared to other …

The issue of handwritten recognition in Arabic script nature has attracted many researchers
from both academic and industrial fields. But their efforts have not reached satisfying …

The cursive nature, Nastaliq writing style and a large number of different ligatures make
ligature recognition very difficult in Urdu. In this paper, we present a segmentation-free …