Feature and Decision Fusion based Facial Recognition in Challenging Environment
Rabiul Islam, Fayzur Rahman · International Journal of Computer Applications · 2011
This paper introduces a face recognition system that contributes the feature and decision fusion in challenging environment. In this work, we investigate the proposed facial recognition system in typical office environments conditions. Though the traditional HMM based facial recognition system is very sensitive to the facial parameters variation, the proposed feature and decision fusion based face recognition is found to be stance and performs well for improving the robustness and naturalness of humancomputer-interaction. At first appearance and shape based features are extracted using Active Appearance Model and Active Shape Model. The other task combines appearance and shape based features that have been used by the multiple Discrete Hidden Markov Model classifiers with likelihood ratio based score fusion and majority voting method. The performances of all these unimodal and multi-modal system performance have been evaluated and compared with each other according to the VALID database. General Terms Face Recognition, Feature Fusion and Decision Fusion.