A new application for gabor filters in face-based gender classification
Joint Authors
al-Wajih, Ibrahim
Ahmad, Mutazz
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 2 (31 Mar. 2020), pp.178-187, 10 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-03-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Human face is one of the most important biometrics as it contains information such as gender, race, and age.
Identifying the gender based on human face images is a challenging problem that has been extensively studied due to its various relevant applications.
Several approaches were used to address this problem by specifying suitable features.
In this study, we present an extension of feature extraction technique based on statistical aggregation and Gabor filters.
We extract statistical features from the image of a face after applying Gabor filters; subsequently, we use seven classifiers to investigate the performance of the selected features.
Experiments show that the accuracy achieved using the proposed features is comparable to accuracies reported in recent studies.
We used seven classifiers to investigate the performance of our proposed features.
Experiments reveal that k-Nearest Neighbors algorithm (k-NN), K-Star classifier (K*), and Rotation Forest offer the best accuracies.
American Psychological Association (APA)
al-Wajih, Ibrahim& Ahmad, Mutazz. 2020. A new application for gabor filters in face-based gender classification. The International Arab Journal of Information Technology،Vol. 17, no. 2, pp.178-187.
https://search.emarefa.net/detail/BIM-954592
Modern Language Association (MLA)
al-Wajih, Ibrahim& Ahmad, Mutazz. A new application for gabor filters in face-based gender classification. The International Arab Journal of Information Technology Vol. 17, no. 2 (Mar. 2020), pp.178-187.
https://search.emarefa.net/detail/BIM-954592
American Medical Association (AMA)
al-Wajih, Ibrahim& Ahmad, Mutazz. A new application for gabor filters in face-based gender classification. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 2, pp.178-187.
https://search.emarefa.net/detail/BIM-954592
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 185-187
Record ID
BIM-954592