Face Age Estimation Approach based on Deep Learning and Principle Component Analysis
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 2
Abstract
This paper presents an approach for age estimation based on faces through classifying facial images into predefined age-groups. However, a task such as the one at hand faces several difficulties because of the different aspects of every single person. Factors like exposure, weather, gender and lifestyle all come into play. While some trends are similar for faces from a similar age group, it is problematic to distinguish the aging aspects for every age group. This paper’s concentration is in four chosen age groups where the estimation takes place. We employed a fast and effective machine learning method: deep learning so that it could solve the age categorization issue. Principal component analysis (PCA) was used for extracting features and reducing face image. Age estimation was applied to three different aging datasets from Morph and experimental results are reported to validate its efficiency and robustness. Eventually, it is evident from the results that the current approach has achieved high classification results compared with support vector machine (SVM) and k-nearest neighbors (K-NN).
Authors and Affiliations
Noor Mualla, Essam H. Houssein, Hala H. Zayed
Keywords
Related Articles
- EP ID EP276421
- DOI 10.14569/IJACSA.2018.090222
- Views 75
- Downloads 0
Comparison Contour Extraction Based on Layered Structure and Fourier Descriptor on Image Retrieval
In this paper, a new content-based image retrieval technique using shape feature is proposed. A shape features extracted by layered structure representation has been implemented. The approach is extract feature shape by...
A DISTRIBUTED KEY BASED SECURITY FRAMEWORK FOR PRIVATE CLOUDS
Cloud computing in its various forms continues to grow in popularity as organizations of all sizes seek to capitalize on the cloud’s scalability, externalization of infrastructure and administration and generally reduced...
The Reality of Applying Security in Web Applications in Academia
Web applications are used in academic institutions, such as universities, for variety of purposes. Since these web pages contain critical information, securing educational systems is as important as securing any banking...
Robust R Peak and QRS detection in Electrocardiogram using Wavelet Transform
In this paper a robust R Peak and QRS detection using Wavelet Transform has been developed. Wavelet Transform provides efficient localization in both time and frequency. Discrete Wavelet Transform (DWT) has been used to...
A Novel Approach for Boosting Base Station Anonymity in a WSN
Nodes in a wireless sensor network scrutinize the nearby region and transmit their findings to the base station (BS) using multi-hop transmission. As the BS plays an important role in a wireless sensor network, therefore...