Expression-invariant face recognition system using subspace model analysis

Face recognition has been recognized as most simple and non-intrusive technology that can be applied in many places. However, there are still many unsolved face recognition problems such as facial deformations, pose or illumination variations. Nonetheless, little research has been done on facial deformation problems. The hypothesis of this research was to determine if a face recognition system could provide robustness to facial deformation problem and its potential applicability. We used the Japanese female facial expression (JAFFE) database as it provides the deformed facial traits for data collection. We used subspace model analysis to analyze the data so as to support our hypothesis. The experimental results indicate that face recognition may be robust to facial changes and applicable.