Information fusion for identity verification

Girija Chetty, Monica Singh

Research output: Contribution to journalArticle

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)979-984
Number of pages6
JournalWorld Academy of Science, Engineering and Technology
Volume5
Issue number5
Publication statusPublished - 1 May 2011
Externally publishedYes

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