Printed Arabic words recognition using genetic algorithm
Other Title(s)
تمييز الكلمات العربية المطبوعة باستخدام الخوارزمية الجينية
Author
Source
Al-Ustath Journal for Human and Social Sciences
Issue
Vol. 2, Issue 217 (30 Jun. 2016), pp.1-8, 8 p.
Publisher
University of Baghdad College of Education for Human Science / Ibn Rushd
Publication Date
2016-06-30
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The automatic recognition of text on scanned images has enabled many application such as searching for words in large volumes of documents, automatic sorting of postal mail, and convenient editing of previously printed documents.
In this paper, a Printed Arabic word recognition system using Wavelet Transform, and Genetic Algorithms (GA) is proposed.
The system consist three steps.
In first step pre-processing are applied on the input image.
Secondly features are extracted, which will be taken as the input to the genetic algorithm.
In feature extraction stage the feature vector extracted by using 1-level linear wavelet decomposition technique and only the approximation are taken as the input to the (GA).
While the third step is a classification which is carried out by GA.
The proposed approaches are tested on a ten Arabic word.
The recognition rate is 90%.
American Psychological Association (APA)
Ali, Rasha Husayn. 2016. Printed Arabic words recognition using genetic algorithm. Al-Ustath Journal for Human and Social Sciences،Vol. 2, no. 217, pp.1-8.
https://search.emarefa.net/detail/BIM-708943
Modern Language Association (MLA)
Ali, Rasha Husayn. Printed Arabic words recognition using genetic algorithm. Al-Ustath Journal for Human and Social Sciences Vol. 2, no. 217 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-708943
American Medical Association (AMA)
Ali, Rasha Husayn. Printed Arabic words recognition using genetic algorithm. Al-Ustath Journal for Human and Social Sciences. 2016. Vol. 2, no. 217, pp.1-8.
https://search.emarefa.net/detail/BIM-708943
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 7-8
Record ID
BIM-708943