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

fYear

2012

fDate

25-29 Nov. 2012

Firstpage

80

Lastpage

84

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SITIS.2012.23

Filename

6395077