Information Fusion For Identity Verification

Girija Chetty, Monica Singh
2011 Zenodo  
In this paper we propose a novel approach for ascertaining human identity based on fusion of profile face and gait biometric cues The identification approach based on feature learning in PCA-LDA subspace, and classification using multivariate Bayesian classifiers allows significant improvement in recognition accuracy for low resolution surveillance video scenarios. The experimental evaluation of the proposed identification scheme on a publicly available database [2] showed that the fusion of
more » ... e and gait cues in joint PCA-LDA space turns out to be a powerful method for capturing the inherent multimodality in walking gait patterns, and at the same time discriminating the person identity..
doi:10.5281/zenodo.1077900 fatcat:rqzohllvhfgbfk5muko3v6lazi