Deep Learning for Age Classification using Facial Image

Abstract

The convolutional neural network has become prominent to address several advanced issues within a real-world entity. The challenges like data accessibility on certain websites needs the user to be older than a particular age and restricting young children to access inappropriate games/websites are still demanding appropriate technological solutions. Current technology doesn't recognize the end user's age before granting access to websites and it allows access to websites based on the information given by the user. Hence to overcome these issues, the proposed system is developed for age classification using facial image.

The services provided by a number of the websites needs the end users to be older than some age however the strategies they implement don't seem to be effective enough to determine their age and gender. This work can predict the age of an individual based on facial feature extraction and analysis. The trained model is used in android application to capture the image of the user when accessing a webpage or an application and classify them as adult or child. This method provides an intermediate phase between the websites and the end users in determining whether or not the user has the right to access the service.

 Keywords: Convolutional neural network, age classification, feature extraction