Prominent Face Region Based Gender Classification Using Deep Learning
This deep learning project focuses on gender classification using face images. In proposed paper, deep learning based gender classification approach is used.
In this project, six prominent face regions are extracted using Haar classifier. These extracted face regions are then learned using deep learning architecture
The experimental results shows accuracy from 99.4% under various artifacts such as illumination variation, pose variation which are inherent in most of unconstrained environment. The database used is Psychological Image Collection at Stirling (PICS) 2D face database of Aberdeen.