Recognition of printed Assyrian character based on neocognitron artificial neural network

Joint Authors

Sarhan, Nizar Saaid
al-Zubaydi, Laheeb

Source

The International Arab Journal of Information Technology

Issue

Vol. 4, Issue 1 (31 Jan. 2007), pp.82-87, 6 p.

Publisher

Zarqa University

Publication Date

2007-01-31

Country of Publication

Jordan

No. of Pages

6

Main Subjects

Information Technology and Computer Science

Topics

Abstract 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.

American Psychological Association (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

Modern Language Association (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

American Medical Association (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

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 86-87

Record ID

BIM-11610