Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/11765,
  title    = {Information Fusion for Identity Verification},
  author    = {Girija Chetty and  Monica Singh},
  country   = {},
  institution={},
  abstract  = {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 face 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..
},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {5},
  number    = {5},
  year      = {2011},
  pages     = {515 - 520},
  ee        = {http://waset.org/publications/11765},
  url       = {http://waset.org/Publications?p=53},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 53, 2011},
}