Classification of gender face image based on slantlet transform
Joint Authors
al-Alusi, Nida Fulayyih Hasan
Ibrahim, Rim Majid
Source
Engineering and Technology Journal
Issue
Vol. 34, Issue 4B (30 Apr. 2016), pp.566-577, 12 p.
Publisher
Publication Date
2016-04-30
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Abstract EN
Image Face classification has been an effective research area over last two or three decades and it is considered as a challenging research topic.
In this paper a new classification algorithm is proposed for gender classification based on face image.
The proposed algorithm consists of two phases: training and testing phases.
In the training phase five steps are implemented to classify gender images; at first step the face in a digital image is segmented so as to eliminate the undesirable background, the redundancy and suppression of noise is reduced using Slantlet Transform in step two.
From transformed face images, Eigen faces feature is extracted using Principle Component Analysis (PCA).
In step three to reduce the number of dimensions without losing information (Eigen value is used as a vector of features), in the final step decision whether the face image is male or female is done by applying Support Vector Machine (SVM).
The experimental outcome indicate that the SVM classifier achieves precision of 89% whenthe classification process using Wavelet 'Transform, and 93 % with Slantlet' Transform for the same number of the test-set.
American Psychological Association (APA)
al-Alusi, Nida Fulayyih Hasan& Ibrahim, Rim Majid. 2016. Classification of gender face image based on slantlet transform. Engineering and Technology Journal،Vol. 34, no. 4B, pp.566-577.
https://search.emarefa.net/detail/BIM-705952
Modern Language Association (MLA)
al-Alusi, Nida Fulayyih Hasan& Ibrahim, Rim Majid. Classification of gender face image based on slantlet transform. Engineering and Technology Journal Vol. 34, no. 4B (2016), pp.566-577.
https://search.emarefa.net/detail/BIM-705952
American Medical Association (AMA)
al-Alusi, Nida Fulayyih Hasan& Ibrahim, Rim Majid. Classification of gender face image based on slantlet transform. Engineering and Technology Journal. 2016. Vol. 34, no. 4B, pp.566-577.
https://search.emarefa.net/detail/BIM-705952
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 576-577
Record ID
BIM-705952