Cuneiform symbols recognition by support vector machine (SVM)
Other Title(s)
تميز الحروف المسمارية باستخدام مصنف الدعم الاتجاهي
Joint Authors
Abd al-Husayn, Abd al-Muhsin Jabir
Rahmah, Abd al-Munim Salih
Said, Ali Adil
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 11, Issue 1 (31 Mar. 2019), pp.1-11, 11 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2019-03-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Cuneiform character recognition represents a complex problem in pattern recognition as result of problems that related to style of this type of writing and the diversity of its features according to distortion and shadows problems.
This research proves that polygon approximation method is an optimal feature extra action method , which has been adopted for recognition task compeer with elliptic Fourier descriptor, according to the achieved high accuracy recognition results after applying multiple classes of support vector machine classifier along with depending on its discriminate functions .This work is applied by using two Data set , the first one contains 320 images of cuneiform symbols patterns for evaluate the optimal feature extraction method.
The second contains 240 images of cuneiform characters to evaluate the recognition system, agents training dataset consists of 2D four triangular patterns.
American Psychological Association (APA)
Said, Ali Adil& Rahmah, Abd al-Munim Salih& Abd al-Husayn, Abd al-Muhsin Jabir. 2019. Cuneiform symbols recognition by support vector machine (SVM). al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 11, no. 1, pp.1-11.
https://search.emarefa.net/detail/BIM-837849
Modern Language Association (MLA)
Said, Ali Adil…[et al.]. Cuneiform symbols recognition by support vector machine (SVM). al-Qadisiyah Journal for Computer Science and Mathematics Vol. 11, no. 1 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-837849
American Medical Association (AMA)
Said, Ali Adil& Rahmah, Abd al-Munim Salih& Abd al-Husayn, Abd al-Muhsin Jabir. Cuneiform symbols recognition by support vector machine (SVM). al-Qadisiyah Journal for Computer Science and Mathematics. 2019. Vol. 11, no. 1, pp.1-11.
https://search.emarefa.net/detail/BIM-837849
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 10-11
Record ID
BIM-837849