Information theoretic capacity analysis for biometric hashing methods

Karabat, Çağatay and Erdoğan, Hakan and Mıhçak, Mehmet Kıvanç (2011) Information theoretic capacity analysis for biometric hashing methods. In: 17th International Conference on Digital Signal Processing (DSP 2011), Corfu, Greece

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In this paper, we address capacity analysis of biometric hashing methods. We propose an information theoretic capacity analysis framework for biometric hashing methods by taking into account their noise resilience which is analogous to the variations of the inputs for same user. To validate the proposed framework, we make simulations with various biometric hashing methods proposed in the literature on three different face image databases. We experimentally estimate the number of different users that a biometric hashing system can accommodate by assuming that every biometric hash vector is possible to be chosen for biometric template and within-class variations can be considered as noise and each bit position has the same probabilities. Besides, we calculate equal error rate performances of the biometric hashing methods and compare them with the proposed capacity analysis framework.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: biometric hash , capacity , metric
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Hakan Erdoğan
Date Deposited: 25 Dec 2011 12:12
Last Modified: 26 Apr 2022 09:05

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