Biyometrik kıyım: istatistiksel nicemleme yöntemleri üzerine bir çalışma (Biometric hash: a study on statistical quantization methods)

Karabat, Çağatay and Erdoğan, Hakan (2012) Biyometrik kıyım: istatistiksel nicemleme yöntemleri üzerine bir çalışma (Biometric hash: a study on statistical quantization methods). In: 20th Signal Processing and Communications Applications Conference (SIU 2012), Muğla, Türkiye

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Abstract

The binary quantization method which is used in random projection based biometric hashing systems reduces the authentication performance of these systems. In this paper, we propose new statistical quantization methods for biometric hashing systems. Our proposed quantization methods use Gaussian mixture model and Gaussian distributions to determine quantization threshold value. Therefore, we improve the authentication performance of the biometric hashing systems with our proposed quantization methods. We also provide experimental results of the proposed methods. The experiments are achieved on the AT&T face database, comprising 400 face images from 20 subjects.
Item Type: Papers in Conference Proceedings
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Hakan Erdoğan
Date Deposited: 06 Dec 2012 15:32
Last Modified: 26 Apr 2022 09:08
URI: https://research.sabanciuniv.edu/id/eprint/20564

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