The using of PCA, wavelet and GLCM in face recognition system : a comparative study
Joint Authors
al-Abaji, Manar Abd al-Karim
Salih, Mead Muhammad
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 26, Issue 10 (31 Dec. 2018), pp.131-139, 9 p.
Publisher
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
The process of data dimension reduction plays an important role in any face recognition system because many of these data are repetitive and irrelevant and this cause a problem in applications of data mining and learning the machine.
The main purpose is to improve the performance of recognition by eliminating repetitive features.
In this research, a number of data reduction techniques were used like: Principal Component Analysis, Gray- Level Co-occurrence Matrix and Discrete Wavelet Transform for extracting the most important features from the images of persons.
A different number of training and testing images were used to compare the performance of each of the techniques above in the recognition process.
Euclidean distance scale was used to get results.
American Psychological Association (APA)
al-Abaji, Manar Abd al-Karim& Salih, Mead Muhammad. 2018. The using of PCA, wavelet and GLCM in face recognition system : a comparative study. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 26, no. 10, pp.131-139.
https://search.emarefa.net/detail/BIM-1112536
Modern Language Association (MLA)
al-Abaji, Manar Abd al-Karim& Salih, Mead Muhammad. The using of PCA, wavelet and GLCM in face recognition system : a comparative study. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 26, no. 10 (2018), pp.131-139.
https://search.emarefa.net/detail/BIM-1112536
American Medical Association (AMA)
al-Abaji, Manar Abd al-Karim& Salih, Mead Muhammad. The using of PCA, wavelet and GLCM in face recognition system : a comparative study. Journal of Babylon University : Journal of Applied and Pure Sciences. 2018. Vol. 26, no. 10, pp.131-139.
https://search.emarefa.net/detail/BIM-1112536
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 139
Record ID
BIM-1112536