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 TypeDr GradeEmail
محمد شعيب قرشيQURESHI, MUHAMMAD SHUAIBInvestigator qureshi.shuaib@gmail.com
M Bilal QureshiQureshi, M BilalResearcher  
Munira G NabiNabi, Munira GResearcher  
Shafaq KhalidKhalid, Shafaq Researcher  

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