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Iris classification based on sparse representations using on-line dictionary learning for large-scale de-duplication applications
De-duplication of biometrics is not scalable when the number of people to be enrolled into the biometric system runs into billions, while creating a unique identity for every person. In this paper, we propose an iris classification based on sparse representation of log-gabor wavelet features using o...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4456603/ https://www.ncbi.nlm.nih.gov/pubmed/26069877 http://dx.doi.org/10.1186/s40064-015-0971-1 |