Recognition of printed Assyrian character based on neocognitron artificial neural network

المؤلفون المشاركون

Sarhan, Nizar Saaid
al-Zubaydi, Laheeb

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 4، العدد 1 (31 يناير/كانون الثاني 2007)، ص ص. 82-87، 6ص.

الناشر

جامعة الزرقاء

تاريخ النشر

2007-01-31

دولة النشر

الأردن

عدد الصفحات

6

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

الملخص EN

This paper presents the development of Assyrian machine printed character recognition system.

Well-known neocognitron artificial neural network is chosen for its fast processing time and its good performance for pattern recognition problems.

The average recognition rate of 95% has been achieved this confirms that the proposed neocognitron artificial neural network approach is suitable for the development of Assyrian machine printed character recognition system.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Sarhan, Nizar Saaid& al-Zubaydi, Laheeb. 2007. Recognition of printed Assyrian character based on neocognitron artificial neural network. The International Arab Journal of Information Technology،Vol. 4, no. 1, pp.82-87.
https://search.emarefa.net/detail/BIM-11610

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Sarhan, Nizar Saaid& al-Zubaydi, Laheeb. Recognition of printed Assyrian character based on neocognitron artificial neural network. The International Arab Journal of Information Technology Vol. 4, no. 1 (Jan. 2007), pp.82-87.
https://search.emarefa.net/detail/BIM-11610

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Sarhan, Nizar Saaid& al-Zubaydi, Laheeb. Recognition of printed Assyrian character based on neocognitron artificial neural network. The International Arab Journal of Information Technology. 2007. Vol. 4, no. 1, pp.82-87.
https://search.emarefa.net/detail/BIM-11610

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 86-87

رقم السجل

BIM-11610