On selecting Gabor features for biometric authentication
by Loris Nanni, Alessandra Lumini
International Journal of Computer Applications in Technology (IJCAT), Vol. 35, No. 1, 2009

Abstract: We describe a Gabor feature selection technique that allows us to develop a fast and robust Gabor-feature based biometric system. Existing Gabor based methods use a huge number of Gabor features to represent the patterns. Our experiments on different biometric characteristics show that by using only few (∼10) Gabor features, it is possible to achieve a very low Equal Error Rate (EER). Only a low number of Gabor filters and sub-images, selected by running the Sequential Forward Floating Selection (SFFS), are exploited in the fusion step. The system has been tested on two biometric traits: ear authentication and finger authentication.

Online publication date: Fri, 10-Apr-2009

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