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Compressed Sensing Face Recognition Method in Heterogeneous Database with Small Sample Size Problem
- Source :
- 2012 Eighth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2012), 2012 Eighth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2012), Nov 2012, Naples, France. pp.80-84, ⟨10.1109/SITIS.2012.23⟩, SITIS
- Publication Year :
- 2012
- Publisher :
- HAL CCSD, 2012.
-
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.
- Subjects :
- Distributed database
Database
Biometrics
business.industry
Computer science
020206 networking & telecommunications
Small sample
Pattern recognition
02 engineering and technology
Sparse approximation
computer.software_genre
Facial recognition system
Task (computing)
Compressed sensing
Face (geometry)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
Data mining
business
computer
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
ComputingMilieux_MISCELLANEOUS
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- 2012 Eighth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2012), 2012 Eighth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2012), Nov 2012, Naples, France. pp.80-84, ⟨10.1109/SITIS.2012.23⟩, SITIS
- Accession number :
- edsair.doi.dedup.....81313d8955082cabd2bde36ee3ae0e93