Offline Arabic handwritten text recognition: a survey

MT Parvez, SA Mahmoud - ACM Computing Surveys (CSUR), 2013 - dl.acm.org
Research in offline Arabic handwriting recognition has increased considerably in the past
few years. This is evident from the numerous research results published recently in major …

An improved deep learning architecture for person re-identification

E Ahmed, M Jones, TK Marks - Proceedings of the IEEE …, 2015 - openaccess.thecvf.com
In this work we propose a method for simultaneously learning features and a corresponding
similarity metric for person re-identification. We present a deep convolution architecture with …

Arabic online handwriting recognition (aohr) a survey

BM Al-Helali, SA Mahmoud - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
This article comprehensively surveys Arabic Online Handwriting Recognition (AOHR). We
address the challenges posed by online handwriting recognition, including ligatures, dots …

[HTML][HTML] Online handwritten Gurmukhi word recognition using fine-tuned deep convolutional neural network on offline features

S Singh, A Sharma, VK Chauhan - Machine Learning with Applications, 2021 - Elsevier
The recognition of online handwriting is a vital application of pattern recognition, which
involves the extraction of spatial and temporal information of handwritten patterns, and …

Online Arabic handwriting recognition: a survey

N Tagougui, M Kherallah, AM Alimi - International Journal on Document …, 2013 - Springer
Researches on handwriting recognition have known a great attention since it has been
considered as a technological revolution in man-machines interfaces especially that …

Online Persian/Arabic script classification without contextual information

M Harouni, MSM Rahim, M Al-Rodhaan… - The Imaging Science …, 2014 - Taylor & Francis
Segmentation accuracy plays a vital role in script recognition process and therefore,
research in this area is still fresh. Accordingly, this paper presents a new method for …

A study on font-family and font-size recognition applied to Arabic word images at ultra-low resolution

F Slimane, S Kanoun, J Hennebert, AM Alimi… - Pattern Recognition …, 2013 - Elsevier
In this paper, we propose a new font and size identification method for ultra-low resolution
Arabic word images using a stochastic approach. The literature has proved the difficulty for …

A database of unconstrained Vietnamese online handwriting and recognition experiments by recurrent neural networks

HT Nguyen, CT Nguyen, PT Bao, M Nakagawa - Pattern Recognition, 2018 - Elsevier
We present our efforts to create a database of unconstrained Vietnamese online handwritten
text sampled from pen-based devices. The database stores handwritten text for paragraphs …

Recognition of online handwritten Gurmukhi characters using recurrent neural network classifier

H Singh, RK Sharma, VP Singh, M Kumar - Soft Computing, 2021 - Springer
Handwriting recognition is one of the challenging tasks in the area of pattern recognition and
machine learning. This paper presents the recognition of Online handwritten basic …

Tilpdeep: a lightweight deep learning technique for handwritten transformed invariant Pashto text recognition

M Shabir, Z Jan, N Islam, I Khan, G Ali… - IEEE Access, 2023 - ieeexplore.ieee.org
Pashto is the native language of Afghanistan and one of Pakistan's most essential and
regional languages. The Pashto language has a vast number of native speakers who live in …