Title of article :
Recognition of Printed Assyrian Character Based on Neocognitron Artificial Neural Network
Author/Authors :
Sarhan, Nazar Saaid A- Isra Private University - Department of Software Engineering, Jordan , Al-Zobaidy, Laheeb University of Mosul - Department of Computer Science, Iraq
Abstract :
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.
Keywords :
Assyrian machine printed character recognition , neocognitron artificial neural network , whitespace , feature extraction.
Journal title :
The International Arab Journal of Information Technology (IAJIT)
Journal title :
The International Arab Journal of Information Technology (IAJIT)
