Information Fusion For Identity Verification
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 re...
Main Authors: | , |
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Format: | Text |
Language: | English |
Published: |
Zenodo
2011
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Subjects: | |
Online Access: | https://dx.doi.org/10.5281/zenodo.1077900 https://zenodo.org/record/1077900 |