Main Page
About FCIT
History
Strategy
Administration>
Current Administration
Prevouis Administration
Organization Strucutre
Industrial Advisory Board
PhotoAlbum
Lab Guides
Departments
Computer Science
Information Technology
Information Systems
Academics
Bachelor Programs
Graduate Programs
Executive Programs
Academic Calendar
Admission
Bachelor Degree & Transferring
Admission from the Foundation Year
Transferring to the Faculty
Graduate Studies
Graduate Programs
Executive Programs
Scientific Research
Groups and Units
Research Groups
Research Interests
Distinguished Scientists Program
Faculty Journal
Faculty and Staff
Faculty
CS Department
IT Department
IS Department
Staff
Accreditation Integration & Management System (AIM
Development and Quality Unit
Work at FCIT
Capabilities Under the Spotlight
Code of Ethics
Students
Bachelor
ِAcademic Services
Preparatory Year Courses
Students' Guide
Academic Advising
Laboratories and Facilities
Student rights and duties
Graduate
Polices and Regulations
Students' Guide
Student's Handbook
New Student Orientation
Templates of proposals and theses for masters and
Courses
CS Program
IT Program
IS Program
Alumni Registration
Students Activities
Entrepreneurship Club
Cybersecurity Club
Data Science Club
Programming Club
Community
Industrial partnerships
Cisco Academy
Microsoft Academy
Oracle Academy
Files
Researches
Contact Us
عربي
English
About
Admission
Academic
Research and Innovations
University Life
E-Services
Search
Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Conference
Document Title
:
Handwritten digit recognition system using neural network
نظام التعرف على الأرقام المكتوبة بخط اليد باستخدام الشبكات العصبية
Subject
:
Data Mining (Neural Networks)
Document Language
:
English
Abstract
:
Artificial Neural Networks surround optical character recognition as one of its parent applications in the field of artificial intelligence that behaves in its functionality like human thinking. In this paper a simple software system for the recognition of handwritten digits is presented that serves as a basic resource for beginners in neural networking and related disciplines. The system is developed by using highly simplified architecture of artificial neural network. Variant patterns of the same handwritten character related to different scripts or fonts were fed in the system. The system recognized these characters successfully and became 100% adaptive in nature.
Conference Name
:
ENERGY PROCEDIA, ELSEVIER
Duration
:
From : 00 AH - To : 00 AH
From : 9 ديسمبر 2011 AD - To : 10 ديسمبر 2011 AD
Publishing Year
:
1432 AH
2011 AD
Number Of Pages
:
11
Article Type
:
Article
Conference Place
:
Singapore. ESEP 2011
Organizing Body
:
International Conference on Energy Systems and Electrical Power, ESEP
Added Date
:
Saturday, June 23, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
محمد شعيب قرشي
QURESHI, MUHAMMAD SHUAIB
Investigator
qureshi.shuaib@gmail.com
M Bilal Qureshi
Qureshi, M Bilal
Researcher
Munira G Nabi
Nabi, Munira G
Researcher
Shafaq Khalid
Khalid, Shafaq
Researcher
Files
File Name
Type
Description
33723.pdf
pdf
Back To Researches Page