1 Jan 20252cites
Enhancing Handwritten Character Recognition Using a Hybrid SVM-CNN ModelPublisher siteLecture notes in networks and systems, Handwritten Text Recognition Techniques
Active, last published 2026
In handwritten text recognition techniques
Mohamed Rida
Fethi
Scholar“Research focused on Handwritten Text Recognition Techniques and adjacent fields.”
Claim Your Profile3
H-index
26
Citations
Mohamed has not officially claimed their profile. If you are Mohamed, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
ohamed Rida Fethi is a researcher working on Handwritten Text Recognition Techniques. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Mohamed's work has been cited 26 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Handwritten Text Recognition Techniques×8Advanced Neural Network Applications×5Vehicle License Plate Recognition×4Image Processing and 3D Reconstruction×3Video Surveillance and Tracking Methods×2
04 · Where I am
Affiliations
Affiliation on published researchUniversité Moulay Ismail de Meknes, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
8 works1 Jan 20252cites
Evaluating CNN and Hybrid CNN-LSTM Models for Arabic Handwritten Character RecognitionPublisher siteLecture notes in networks and systems, Handwritten Text Recognition Techniques
1 Jan 20243cites
A Novel Approach for Arabic Character Recognition Using Hybrid SIFT-SVMPublisher siteInformation systems engineering and management, Handwritten Text Recognition Techniques
1 Jan 20243cites
An Advanced Modified Freeman Chain Code Algorithm for Enhancing Arabic Character RecognitionPublisher siteInformation systems engineering and management, Handwritten Text Recognition Techniques
1 Jan 20242cites
Comparative Analysis of Pre-trained CNN Models for Image Classification of Emergency VehiclesPublisher siteLecture notes in networks and systems, Advanced Neural Network Applications
30 Dec 2023Open access7cites
Pre-trained CNNs: Evaluating Emergency Vehicle Image ClassificationPublisher siteData & Metadata, Advanced Neural Network Applications
10 Dec 2023Open access8cites
Toward Innovative Recognition of Handwritten Arabic Characters: A Hybrid Approach with SIFT, BoVW, and SVM classificationPublisher siteData & Metadata, Handwritten Text Recognition Techniques
8 May 2023Open access6cites
A Progressive Approach to Arabic Character Recognition Using a Modified Freeman Chain Code AlgorithmPublisher siteData & Metadata, Handwritten Text Recognition Techniques
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Mohamed?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you