UrduDeepNet: offline handwritten Urdu character recognition using deep neural network
Handwritten Urdu character recognition system faces several challenges including the writer-
dependent variations and non-availability of benchmark databases for cursive writing …
dependent variations and non-availability of benchmark databases for cursive writing …
Urdu handwritten text recognition: a survey
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 …
research area. A significant progress is made in this interesting and challenging field in the …
KNN and ANN-based recognition of handwritten Pashto letters using zoning features
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 …
handwritten character recognition is a challenging task. These letters not only differ in shape …
Exploring deep learning approaches for Urdu text classification in product manufacturing
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 …
processing. Due to lack of language resources, potential of deep learning (DL) models have …
Urdu optical character recognition systems: Present contributions and future directions
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 …
prominent studies in the field of Urdu optical character recognition (OCR). This paper …
Analysis of Cursive Text Recognition Systems: A Systematic Literature Review
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 …
writing systems and scripts, which consist of varying character sets. Developing an optimal …
Recognition of Visual Arabic Scripting News Ticker From Broadcast Stream
M Tayyab, A Hussain, MA Alshara, S Khan… - IEEE …, 2022 - ieeexplore.ieee.org
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 …
analysis, opinion mining and language translation for media regulatory authorities. Without …
A multi-layer holistic approach for cursive text recognition
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 …
communities worldwide. It is relatively hard to recognize Urdu text compared to other …
Survey on segmentation and recognition of handwritten arabic script
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 …
from both academic and industrial fields. But their efforts have not reached satisfying …
Ligature categorization based Nastaliq Urdu recognition using deep neural networks
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 …
ligature recognition very difficult in Urdu. In this paper, we present a segmentation-free …