Hybrid technique to improve face recognition using principal component analysis and singular value decomposition
Other Title(s)
تقنية هجينة لتحسين التعرف على الوجه باستخدام تحليل المكونات الرئيسية و تحلل القيمة المفردة
Joint Authors
Yakub, Zaynab Ali
Abd al-Jabbar, Isra Abd al-Amir
Source
Issue
Vol. 2019, Issue 31 (30 Jun. 2019), pp.1-16, 16 p.
Publisher
Publication Date
2019-06-30
Country of Publication
Iraq
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper present a hybrid technique between two of the most popular face recognition methods, Principal Component Analysis (PCA) and singular value decomposition (SVD), and attempts to offer a study for all its mathematical equations in detail and concentrate on the hybrid place between equations in order to focus on the way of processing the hybrid method.
Dot product used in mathematical equations and for testing the proposed method used Olivetti Research Laboratory (ORL) data set images were used with different number of images for training set and used various number of Eigen faces and used also dissimilar number for test images and Manhattan distance was used to measure the distances between image vectors in this system, the result shows that the recognition rate using this hybrid technique is higher than the recognition rate using PCA or SVD separately and each time increase the threshold value the accuracy rate increased and conclude that when increase the threshold value and the chosen number of Eigen faces then recognition rate increased.
American Psychological Association (APA)
Abd al-Jabbar, Isra Abd al-Amir& Yakub, Zaynab Ali. 2019. Hybrid technique to improve face recognition using principal component analysis and singular value decomposition. al-Mansour،Vol. 2019, no. 31, pp.1-16.
https://search.emarefa.net/detail/BIM-947672
Modern Language Association (MLA)
Abd al-Jabbar, Isra Abd al-Amir& Yakub, Zaynab Ali. Hybrid technique to improve face recognition using principal component analysis and singular value decomposition. al-Mansour No. 31 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-947672
American Medical Association (AMA)
Abd al-Jabbar, Isra Abd al-Amir& Yakub, Zaynab Ali. Hybrid technique to improve face recognition using principal component analysis and singular value decomposition. al-Mansour. 2019. Vol. 2019, no. 31, pp.1-16.
https://search.emarefa.net/detail/BIM-947672
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 14-15
Record ID
BIM-947672