Proposed handwriting Arabic words classification based on Discrete Wavelet Transform and Support Vector Machine
Other Title(s)
نظام مقترح لتمييز بعض الكلمات العربية المكتوبة بخط اليد بالاعتماد على تقنية محول المويجات المتقطعة (DWT) و آلة داعم المتجهات SVM
Joint Authors
Abbas, Muhammad Allawi
Abd al-Hasan, Alya Karim
Source
Issue
Vol. 58, Issue 2C (30 Jun. 2017), pp.1159-1168, 10 p.
Publisher
University of Baghdad College of Science
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
A proposed feature extraction algorithm for handwriting Arabic words.
The proposed method uses a 4 levels discrete wavelet transform (DWT) on binary image.
sliding window on wavelet space and computes the stander derivation for each window.
The extracted features were classified with multiple Support Vector Machine (SVM) classifiers.
The proposed method simulated with a proposed data set from different writers.
The experimental results of the simulation show 94.44% recognition rate.
American Psychological Association (APA)
Abd al-Hasan, Alya Karim& Abbas, Muhammad Allawi. 2017. Proposed handwriting Arabic words classification based on Discrete Wavelet Transform and Support Vector Machine. Iraqi Journal of Science،Vol. 58, no. 2C, pp.1159-1168.
https://search.emarefa.net/detail/BIM-790631
Modern Language Association (MLA)
Abd al-Hasan, Alya Karim& Abbas, Muhammad Allawi. Proposed handwriting Arabic words classification based on Discrete Wavelet Transform and Support Vector Machine. Iraqi Journal of Science Vol. 58, no. 2C (2017), pp.1159-1168.
https://search.emarefa.net/detail/BIM-790631
American Medical Association (AMA)
Abd al-Hasan, Alya Karim& Abbas, Muhammad Allawi. Proposed handwriting Arabic words classification based on Discrete Wavelet Transform and Support Vector Machine. Iraqi Journal of Science. 2017. Vol. 58, no. 2C, pp.1159-1168.
https://search.emarefa.net/detail/BIM-790631
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in English and Arabic.
Record ID
BIM-790631