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