Results 61 to 70 of about 352 (167)

Advanced handwriting identification: Triboelectric sensor array integrating with deep learning toward high information security

InfoMat, Volume 7, Issue 8, August 2025.
A handwriting identification system is established by integrating a self‐powered handwriting signal acquisition device with an advanced deep‐learning architecture. The system demonstrated excellent performance in identifying the handwriting of genuine writers and forgers, which has perplexed humans for a considerable period.
Weiqiang Zhang, Linfeng Deng, Xiaozhou Lü, Mingxin Liu, Zewei Ren, Sicheng Chen, Yuanjin Zheng, Bin Yao, Weimin Bao, Zhong Lin Wang   +9 more
wiley   +1 more source

ADOCRNet: A Deep Learning OCR for Arabic Documents Recognition

IEEE Access
In recent years, Optical character recognition (OCR) has experienced a resurgence of interest especially for contemporary Arabic data. In fact, OCR development for printed and handwritten Arabic script is still a challenging task.
Lamia Mosbah, Ikram Moalla, Tarek M. Hamdani, Bilel Neji, Taha Beyrouthy, Adel M. Alimi   +5 more
doaj   +1 more source

Sticky Objects and Places: Entangled Emotions in an English‐Medium University Educationscape

International Journal of Applied Linguistics, Volume 35, Issue 3, Page 1019-1030, August 2025.
ABSTRACT This paper explores entangled emotions in an Abu Dhabi English‐medium university educationscape in relation to sticky objects and sticky places, which are objects/places saturated in affect through familiarity and repetition. Moving away from a lingua‐centric approach to linguistic landscape research, this ethnographic study explores Emirati ...
Sarah Hopkyns
wiley   +1 more source

Christian Bohr. Discoverer of Homotropic and Heterotopic Allostery

Acta Physiologica, Volume 241, Issue S734, July 2025.
ABSTRACT This essay recounts and revisits the scientific contributions of Christian Bohr, highlighting his pivotal role in discovering allostery about 120 years ago. Bohr's meticulous experimentation led to identifying two distinct forms of allostery: homotropic (single‐ligand) and heterotropic (multi‐ligand), the latter widely recognized as the Bohr ...
Niels Bindslev
wiley   +1 more source

Two stage classifierfor Arabic Handwritten Character Recognition

IJARCCE, 2015
In this paper we will present a two phase method for isolated Arabic handwritten character recognition system. The new method combines two levels based on two classifiers, a public and a private according to the similar features among characters. In the first level, we built a public classifier to deal with all character groups, each group contains ...
Omer Balola Ali, Adnan Shaout, Mohammed Elhafiz   +2 more
openaire   +1 more source

Ketocyanine‐Based Materials for Near Infrared‐to‐Visible Thermochromism

Advanced Optical Materials, Volume 13, Issue 9, March 21, 2025.
Fine‐tunable thermochromic transition in the visible and near‐infrared spectral regions. Simultaneous or selective activation of distinct intermolecular interaction mechanisms of Ketocyanine dyes with the external microenvironment (i.e. aggregachromism, solvatochromism, keto‐enol equilibrium) gives straightforward access to several different ...
Alex Julià López, Noel Muñoz Pérez, Ruslan Magerramov, Mar Puyol, Ferran Crugeira, Sergey Miltsov, Daniel Ruiz‐Molina, Claudio Roscini   +7 more
wiley   +1 more source

A multimodal learning framework for Arabic handwritten word recognition and future research directions

Scientific Reports
In fact, Arabic handwritten word recognition remains a challenging task due to the cursive nature of the Arabic script, positional character variations, diacritical marks, and significant intra- and inter-writer variability.
Jawad Hasan Alkhateeb
doaj   +1 more source

Kurdish Handwritten Text Recognition

ARO-The Scientific Journal of Koya University
Based on the available peer-reviewed literature, Kurdish handwritten recognition remains at a nascent stage, with existing models limited to isolated character, digit, and word recognition.
Karez A. Hamad, Shareef M. Shareef
doaj   +1 more source

A Comprehensive Approach to Arabic Handwriting Recognition: Deep Convolutional Networks and Bidirectional Recurrent Models for Arabic Scripts [PDF]

International Journal of Telecommunications
Arabic handwriting recognition presents unique challenges due to the complexities of Arabic calligraphy and variations in writing styles. Proposing a novel approach to address these challenges by leveraging advanced deep learning techniques.
Ayman Saber, Ahmed Taha, Khalid Abd El Salam   +2 more
doaj   +1 more source

Hybrid Arabic handwritten character segmentation using CNN and graph theory algorithm

Journal of King Saud University: Computer and Information Sciences
Arabic handwritten words segmentation is considered a challenging step in Arabic optical character recognition. In this work, we propose a convolutional neural network-based segmentation of handwritten Arabic words.
Lamia Berriche, Ashjan Alqahtani, Siwar RekikR   +2 more
doaj   +1 more source