An Unsupervised Neural Network Method for Age Group Estimation using Facial Features
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2015, Vol 3, Issue 6
Abstract
Age estimation from facial features is an important research subject in the field of face recognition. It is an active research area that can be used in wide range of applications such as surveillance and security, telecommunication and digital libraries, human-computer intelligent interaction, and smart environment. This paper developed an unsupervised neural network by using a Self – Organizing Feature Map (SOFM) to estimate age group from facial features. The face images were divided into eight different age groups ranging from babies, young teenagers, mid teenagers, teenagers, young adults, mid adults, young old and old and SOFM was used to estimate the age group from the input face image. Principal Component Analysis (PCA) was used to extract the facial features and the extracted features were presented to the SOFM for training and testing. The developed system was experimented with 630 face images with different ages from the FG-NET database. 450 samples were used for training while 180 were used for testing. The results showed a training time of 116.333 seconds and an accuracy of 92.2%.
Authors and Affiliations
Oladele, M. O. , Omidiora, E. O. , Adepoju, T. M.
Keywords
Related Articles
- EP ID EP278810
- DOI 10.14738/tmlai.36.1689
- Views 58
- Downloads 0
A Model Driven Approach for Modeling and Generating PHP CodeIgniter based Applicationspring
During the last decade, web development industry has grown exponentially. Models have been introduced as a solution to face the challenge of both business and technology changes. In this article, we present a Model Drive...
E-CLONALG: A classifier based on Clonal Selection Algorithm
This paper proposes an improved version of CLONALG, Clone Selection Algorithm based on Artificial Immune System(AIS), that matches with the conventional classifiers in terms of accuracy tested on the same data sets. Clon...
A Computational Algorithm for Simultaneously Creating Alternatives to Optimal Solutions
In solving many practical mathematical programming applications, it is generally preferable to formulate several quantifiably good alternatives that provide distinct perspectives to the particular problem. This is becaus...
The Role of Cloud Computing in Learning from a Logistic and Strategic Vision Case of Information Systems Management of a Private Moroccan University
This research focuses on the role of cloud computing from a logistic and strategic vision in organizations. Our research question focuses on understanding the difficulties and limitations that bring the support of steeri...
Bio-Inspired Temporal-Decoding Network Topologies for the Accurate Recognition of Spike Patterns
In this paper will be presented simple and effective temporal-decoding network topologies, based on a neuron model similar to the classic Leaky Integrate-and-Fire, but including the spike latency effect, a neuron propert...