Improving accuracy in human age classification using ensemble learning techniques
Joint Authors
Panicker, Sreejit
Selot, Smita
Sharma, Manisha
Source
Issue
Vol. 60, Issue 8 (31 Aug. 2019), pp.1830-1836, 7 p.
Publisher
University of Baghdad College of Science
Publication Date
2019-08-31
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Age is a predominant parameter for arbitrating an individual, for security and access concerns of the data that exist in cyber space.
Nowadays we find a rapid growth in unethical practices from youngsters as well as skilled cyber users.
Facial image renders a variety of information that can be used, when processed to ascertain the age of individuals.
In this paper, local facial features are considered to predict the age group, where local Binary Pattern (LBP) is extracted from four regions of facial images.
The prominent areas where wrinkles are developed naturally in human as age increases are taken for feature extraction.
Further these feature vectors are subjected to ensemble techniques that increases the accuracy of the model hence improving the efficiency in terms of MAE and performance parameters for age group classification.
The proposed approach was evaluated on FG-NET facial aging dataset.
American Psychological Association (APA)
Panicker, Sreejit& Selot, Smita& Sharma, Manisha. 2019. Improving accuracy in human age classification using ensemble learning techniques. Iraqi Journal of Science،Vol. 60, no. 8, pp.1830-1836.
https://search.emarefa.net/detail/BIM-969462
Modern Language Association (MLA)
Panicker, Sreejit…[et al.]. Improving accuracy in human age classification using ensemble learning techniques. Iraqi Journal of Science Vol. 60, no. 8 (2019), pp.1830-1836.
https://search.emarefa.net/detail/BIM-969462
American Medical Association (AMA)
Panicker, Sreejit& Selot, Smita& Sharma, Manisha. Improving accuracy in human age classification using ensemble learning techniques. Iraqi Journal of Science. 2019. Vol. 60, no. 8, pp.1830-1836.
https://search.emarefa.net/detail/BIM-969462
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1836
Record ID
BIM-969462