Human Gender and Age Detection Based on Attributes of Face

International Journal of Interactive Mobile Technologies

article

Shaimaa Hameed Shaker¹  Farah Q. Al-Khalidi² 

[1] Department of Computer sciences, University of Technology in Iraq;Department of Computer sciences, Mustansiriyah University in Iraq

关键词: Facial image;    Features extraction;    Human Age and Gender;    k-mean;    LDA;    ID3.;   

DOI  :  10.3991/ijim.v16i10.30051

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

The main target of the work in this paper is to detect the gender and oldness of a person with an accurate decision and efficient time based on the number of facial outward attributes extracted using Linear-Discriminate Analysis to classify a person within a certain category according to his(her) gender and age. This work was deal with color facial images via the Iterative Dichotomiser3 algorithm as a classifier to detect the oldness of a person after gender detected. This paper used the Face-Gesture-Recognition-Research-Network aging dataset. All facial images in the dataset were categorizing into binary categories using k-means. This is followed by the process of dividing all samples according to age classes that belonging to each specific sex category. Thus, this division process enabled us to reach a quick and accurate decision.  The results showed that the accuracy of the proposal was 90.93%,  and F-measure was 89.4.

【 授权许可】

CC BY