Results 41 to 50 of about 352 (167)
Arabic Handwritten Letters Recognition Using Convolutional Neural Networks
Advances in Electrical and Computer EngineeringArabic handwriting recognition is a complex task due to the script’s cursive nature, the presence of diacritics, character positioning, connected letters, and variations in individual writing styles.
SIDAOUI, B., KAOUAN, M.
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Machine Learning Approach for Arabic Handwritten Recognition
Applied SciencesText recognition is an important area of the pattern recognition field. Natural language processing (NLP) and pattern recognition have been utilized efficiently in script recognition.
A. M. Mutawa +2 more
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(Not) On the Map: Story‐Mapping Uncertainties in Syrians' Displacement Between Syria and Tunisia
Antipode, Volume 58, Issue 3, May 2026.ABSTRACT One way of challenging hegemonic narratives about migration to Europe is to foreground aspects we do not know for certain. Representations of uncertainties point to a challenge to critical migration researchers: how does human movement exceed predictable responses to borders? This is a conceptual, but also an ethical question, as it compels us
Ann‐Christin Zuntz +3 more
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Flexible Memory: Progress, Challenges, and Opportunities
Advanced Intelligent Discovery, Volume 2, Issue 2, April 2026.Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
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A Hybrid Deep Model for Recognizing Arabic Handwritten Characters
IEEE Access, 2021 Handwriting recognition for computer systems has been in research for a long time, with different researchers having an extensive variety of methods at their disposal.
Naseem Alrobah, Saleh Albahli
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Piezoelectric Origami Metamaterials for Enhanced Handwriting Recognition and Trajectory Tracking
Advanced Intelligent Discovery, Volume 2, Issue 1, February 2026.This study introduces origami metamaterials inspired by Kresling piezoelectric generators to enhance biometric authentication and handwriting trajectory recognition. Overcoming sensor limitations in conventional devices, the design enables multichannel data acquisition with fewer sensors, utilizing machine learning to accurately identify content ...
Yinzhi Jin, Ting Tan, Zhimiao Yan
wiley +1 more source
Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research
Sensors, 2016 Document analysis tasks such as pattern recognition, word spotting or segmentation, require comprehensive databases for training and validation. Not only variations in writing style but also the used list of words is of importance in the case that ...
Laslo Dinges +3 more
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Nima's “Incomplete” Humans: Storying Adolescents’ Black Inhabitations in Accra
Antipode, Volume 58, Issue 1, January 2026.Abstract In this article, I story adolescents as “incomplete” human beings whose inventive modes of storytelling and inhabiting community space shape a “black sense of place” in the Nima neighbourhood of Accra, Ghana. In collaborative arts‐based research with Spread‐Out Initiative NGO, Nima adolescents share stories and narrate experiences that witness
Victoria Ogoegbunam Okoye
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Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform
International Journal of Interactive Multimedia and Artificial Intelligence, 2017 A crucial task in character recognition systems is the segmentation of the document into text lines and especially if it is handwritten. When dealing with non-Latin document such as Arabic, the challenge becomes greater since in addition to the ...
Abdelghani Souhar +3 more
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Arabic Handwritten Character Recognition Using Structural Shape Decomposition
Signal & Image Processing : An International Journal, 2017 This paper presents a statistical framework for recognising 2D shapes which are represented as an arrangement of curves or strokes. The approach is a hierarchical one which mixes geometric and symbolic information in a three-layer architecture. Each curve primitive is represented using a point-distribution model which describes how its shape varies ...
Abdullah A. Al-Shaher, Edwin R. Hancock
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