A New Application for Gabor Filters in Face-Based Gender Classification

Ebrahim Al-Wajih; Moataz Ahmed

doi:10.34028/iajit

Article Details

A New Application for Gabor Filters in Face-Based Gender Classification

Authors:

Ebrahim Al-Wajih | Moataz Ahmed

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 2, pp.41-50

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001389326

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

Abstract:

 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.

Article Details

A New Application for Gabor Filters in Face-Based Gender Classification

Authors:

Ebrahim Al-Wajih | Moataz Ahmed

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 2, pp.41-50

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001389326

pISSN:

2309-4524

DOI:

10.34028/iajit

Gabor filters

gender recognition

statistical features

PCA

Issues

Article Details

A New Application for Gabor Filters in Face-Based Gender Classification

Authors: Ebrahim Al-Wajih | Moataz Ahmed

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 2, pp.41-50

Document Type: Article

Publication Date: 1/2020

Document Language: English

Document ID (Org No.): 2001389326

pISSN: 2309-4524

DOI: 10.34028/iajit

Gabor filters

gender recognition

statistical features

PCA

Issues

Authors:

Ebrahim Al-Wajih | Moataz Ahmed

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.17 Issue 2, pp.41-50

Document Type:

Article

Publication Date:

1/2020

Document Language:

English

Document ID (Org No.):

2001389326

pISSN:

2309-4524

DOI:

10.34028/iajit