Compressed Sensing Face Recognition Method in Heterogeneous Database with Small Sample Size Problem

Abstract

Face recognition is one important task in Nomad Biometric Authentication (NOBA) project. However, as many other face databases, it will easily produce the Small Sample Size (SSS) problem in some applications with NOBA data. Thus this paper uses the Compressed Sensing (CS) algorithm to solve the SSS problem in NOBA face database. Some experiments can prove the feasibility and validity of this solution.

DOI: 10.1109/SITIS.2012.23

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Cite this paper

@article{Liu2012CompressedSF, title={Compressed Sensing Face Recognition Method in Heterogeneous Database with Small Sample Size Problem}, author={Ji-Xin Liu and Redouane Khemmar and Jean-Yves Ertaud and Xavier Savatier}, journal={2012 Eighth International Conference on Signal Image Technology and Internet Based Systems}, year={2012}, pages={80-84} }