17-12-2025
جامعة الملك عبدالعزيز
KING ABDULAZIZ UNIVERSITY
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
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