Iris classification based on sparse representations using on-line dictionary learning for large-scale de-duplication applications

Conference/Journal
SpringerPlus
Authors
Nalla Pattabhi Ramaiah C. Krishna Mohan
BibTex
Abstract
Abstract 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 on-line dictionary learning (ODL) for large-scale de-duplication applications. Three different iris classes based on iris fiber structures, namely, stream, flower, jewel and shaker, are used for faster retrieval of identities. Also, an iris adjudication ...