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En iyi lineer dönüşüme dayalı yeni bir biyometrik kıyım yöntemi (A novel biometric hashing method based on optimal linear transformation)

Karabat, Çağatay and Erdoğan, Hakan and Mıhçak, Mehmet Kıvanç (2011) En iyi lineer dönüşüme dayalı yeni bir biyometrik kıyım yöntemi (A novel biometric hashing method based on optimal linear transformation). In: IEEE 19th Conference on Signal Processing and Communications Applications (SIU 2011), Kemer, Antalya

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Official URL: http://dx.doi.org/10.1109/SIU.2011.5929678

Abstract

In literature, the most of the biometric hashing methods are based on randomised dimension reduction method. In this work, we propose a novel biometric hashing method based on optimal linear transformation. This optimal linear transformation is based on the within class covariance matrix and is used for dimension reduction in the proposed biometric hashing method. The proposed biometric hashing method can be used as a biometric verification system. The simulation results show that the proposed method has better performance in comparison with the proposed biometric hashing methods in the literature.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:biometric verification system , novel biometric hashing method , optimal linear transformation , randomised dimension reduction method , within class covariance matrix
Subjects:UNSPECIFIED
ID Code:18544
Deposited By:Hakan Erdoğan
Deposited On:24 Dec 2011 21:03
Last Modified:24 Dec 2011 21:03

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