Independent the Brain Modeling for Arabic Characters  Recognition

Fathal, A.; And,; A.Sead, S.

	Independent the Brain Modeling for Arabic Characters Recognition
Journal of Basrah Researches (Sciences)
Article 1, Volume 32, Issue 3, 2006, Pages 34-48 PDF (0 K)
Authors
A. Fathal; ; S. A.Sead
Abstract
The research introduces a system to recognize the printed Arabic characters ,the system algorithm has been concluded from the modeling of the brain human behaviors .The basis of this system depends on the interpretation of human ability in recognizing and reading the characters in connection with failure in writing them .The design of the suggested system including five principal stages. The first stage reads the printed Arabic documents making use of the HP Scanner Jet which generates TIF (Tagged Image File )file .The second one determing the proper degree of attention for the model operation. The third one processes the effects of input text on activating of some brain components .The fourth one extracts the tops of the characters from the surface of the text document The last divides the whole text into separate characters (segmentation). A number of new ideas and methods are proposed for the purpose of segmentation ,The application of these proposals have given good and satisfactory results ,by which the adopted process of segmentation can be simplified in other well–known methods then ,the segmented characters can be classified depending on the abstracting experience as a result of the previous work .As the well as the system is supplied with the phase of learning according to its supervisor .The present work introduces a design of a system for recognizing the characters is able to overcome the most attributes of Arabic writing .The new direction of this work can be achieved throughout mixing the human behavior in building such systems.
Keywords
Segmented Characters; Characters Recognition; Brain Modeling

Statistics Article View: 137 PDF Download: 84