Title :
Compressed Sensing Face Recognition Method in Heterogeneous Database with Small Sample Size Problem
Author :
Ji-xin Liu ; Khemmar, Redouane ; Ertaud, J. ; Savatier, X.
Author_Institution :
Res. Inst. for Embedded Syst. (IRSEEM), Rouen, France
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.
Keywords :
biometrics (access control); compressed sensing; distributed databases; face recognition; visual databases; NOBA data; NOBA face database; NOBA project; SSS problem; compressed sensing algorithm; compressed sensing face recognition method; face databases; heterogeneous database; nomad biometric authentication project; small sample size problem; Compressed sensing; Databases; Face; Face recognition; Feature extraction; Redundancy; Standards; Face recognition; Nomad Biometric Authentication (NOBA); compressed sensing; small sample size; sparse representation;
Conference_Titel :
Signal Image Technology and Internet Based Systems (SITIS), 2012 Eighth International Conference on
Conference_Location :
Naples
Print_ISBN :
978-1-4673-5152-2
DOI :
10.1109/SITIS.2012.23
