Document Details
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Document Type |
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Article In Conference |
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Document Title |
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Handwritten digit recognition system using neural network نظام التعرف على الأرقام المكتوبة بخط اليد باستخدام الشبكات العصبية |
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Subject |
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Data Mining (Neural Networks) |
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Document Language |
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English |
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Abstract |
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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. |
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Conference Name |
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ENERGY PROCEDIA, ELSEVIER |
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Duration |
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From : 00 AH - To : 00 AH
From : 9 ديسمبر 2011 AD - To : 10 ديسمبر 2011 AD |
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Publishing Year |
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1432 AH
2011 AD |
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Number Of Pages |
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11 |
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Article Type |
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Article |
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Conference Place |
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Singapore. ESEP 2011 |
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Organizing Body |
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International Conference on Energy Systems and Electrical Power, ESEP |
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Added Date |
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Saturday, June 23, 2012 |
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Researchers
| 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 | | |
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