Group sparse representation based classification for multi-feature multimodal biometrics
Multimodal biometrics technology consolidates information obtained from multiple sources
at sensor level, feature level, match score level, and decision level. It is used to increase …
at sensor level, feature level, match score level, and decision level. It is used to increase …
Group sparse representation based classification for multi-feature multimodal biometrics
G Goswami, P Mittal, A Majumdar, M Vatsa, R Singh - Information Fusion, 2016 - infona.pl
Multimodal biometrics technology consolidates information obtained from multiple sources
at sensor level, feature level, match score level, and decision level. It is used to increase …
at sensor level, feature level, match score level, and decision level. It is used to increase …
Group sparse representation based classification for multi-feature multimodal biometrics
G Goswami, P Mittal, A Majumdar, M Vatsa, R Singh - Information Fusion, 2016 - dl.acm.org
Group sparse representation based classification algorithm is proposed for feature-level
multimodal biometrics. The algorithm is able to handle missing features in multimodal …
multimodal biometrics. The algorithm is able to handle missing features in multimodal …