Developing an Arabic Handwritten Recognition System by Means of Artificial Neural Network

• DOI: 10.36478/jeasci.2020.1.3
• Publication Date: 2019-10-17T10:41:13Z
• Authors: Ali Mohsin; Mohammed Sadoon
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

The matter of handwritten text recognition is as yet a major challenge to mainstream researchers.A few ways deal with this have been endeavored in the most recent years, for part concentrating on English pre-printed or characters space.Consequently, need effort research concerning Arabic texts recognition.The handwriting presents unique technical difficulties because it cursive, right left writing and letters convert its shapes structures when putted at initial, middle, isolation end words.In study, developed designed recognize image text/characters.The proposed model gets single line text, which segments into words then letters.A multilayer feed forward neural network trained these characters.The final results indicate clarify that system perform an effective accuracy rated up 83% text.