Basrah Journal for Engineering Sciences
Login
Basrah Journal for Engineering Sciences
  • Home
  • Articles & Issues
    • Latest Issue
    • All Issues
  • Authors
    • Submit Manuscript
    • Guide for Authors
    • Authorship
    • Article Processing Charges (APC)
  • Reviewers
    • Guide for Reviewers
    • Become a Reviewer
  • About
    • About Journal
    • Aims and Scope
    • Editorial Team
    • Journal Insights
    • Peer Review Process
    • Publication Ethics
    • Plagiarism
    • Allegations of Misconduct
    • Appeals and Complaints
    • Corrections and Withdrawals
    • Open Access
    • Archiving Policy
    • Announcements
    • Contact

Search Results for Maytham A. Shahed

Article
Genetic Algorithm Based Handwritten Numeric Strings Recognition

Maytham A. Shahed

Pages: 66-75

PDF Full Text
Abstract

This paper presents an approach for the recognition of off-line handwritten numeric strings using genetic algorithm. The proposed scheme is divided in two parts. The first part is remove the image noise, then the vertical projection is used to segment the numeric strings at isolated digits and every digit will be presented separately to the second part. The second part using improved genetic algori_thm to recognize isolated handwritten digit. The result of the recognition of the numeric strings will display at the exit of the global system.

1 - 1 of 1 items

Search Parameters

×

The submission system is temporarily under maintenance. Please send your manuscripts to

Go to Editorial Manager
Journal Logo
Basrah Journal for Engineering Sciences

College of Engineering, University of Basrah

  • Copyright Policy
  • Terms & Conditions
  • Privacy Policy
  • Accessibility
  • Cookie Settings
Licensing & Open Access

CC BY 4.0 Logo Licensed under CC-BY-4.0

This journal provides immediate open access to its content.

Editorial Manager Logo Elsevier Logo

Peer-review powered by Elsevier’s Editorial Manager®

Copyright © 2026 College of Engineering, University of Basrah, its licensors, and contributors. All rights reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.