A survey of OCR in Arabic language: applications, techniques, and challenges
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 …
from a scanned or printed image and converting it to a machine-readable form for further …
[PDF][PDF] Arabic Optical Character Recognition: A Review.
S Alghyaline - CMES-Computer Modeling in Engineering & …, 2023 - researchgate.net
This study aims to review the latest contributions in Arabic Optical Character Recognition
(OCR) during the last decade, which helps interested researchers know the existing …
(OCR) during the last decade, which helps interested researchers know the existing …
Recognizing arabic handwritten characters using deep learning and genetic algorithms
Automated techniques for Arabic content recognition are at a beginning period contrasted
with their partners for the Latin and Chinese contents recognition. There is a bulk of …
with their partners for the Latin and Chinese contents recognition. There is a bulk of …
Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networks
Abstract Optical Character Recognition of cursive scripts remains a challenging task due to a
large number of character shapes, inter-and intra-word overlaps, context sensitivity and …
large number of character shapes, inter-and intra-word overlaps, context sensitivity and …
Recognition of Urdu handwritten characters using convolutional neural network
In the area of pattern recognition and pattern matching, the methods based on deep learning
models have recently attracted several researchers by achieving magnificent performance …
models have recently attracted several researchers by achieving magnificent performance …
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 …
Urdu Nasta'liq text recognition system based on multi-dimensional recurrent neural network and statistical features
Character recognition for cursive script like Arabic, handwritten English and French is a
challenging task which becomes more complicated for Urdu Nasta'liq text due to complexity …
challenging task which becomes more complicated for Urdu Nasta'liq text due to complexity …
Urdu Nasta'liq text recognition using implicit segmentation based on multi-dimensional long short term memory neural networks
The recognition of Arabic script and its derivatives such as Urdu, Persian, Pashto etc. is a
difficult task due to complexity of this script. Particularly, Urdu text recognition is more difficult …
difficult task due to complexity of this script. Particularly, Urdu text recognition is more difficult …
[HTML][HTML] Segmentation-based, omnifont printed Arabic character recognition without font identification
A Qaroush, A Awad, M Modallal, M Ziq - Journal of King Saud University …, 2022 - Elsevier
Abstract Optical Character Recognition OCR is an essential part of many real-world
applications such as digital archiving, automatic number plate recognition, handle cheques …
applications such as digital archiving, automatic number plate recognition, handle cheques …
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 …