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Information analysis of iris biometrics for the needs of cryptology key extraction
Author(s) -
Saša Adamović,
Milan Milosavljević
Publication year - 2013
Publication title -
serbian journal of electrical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.133
H-Index - 5
eISSN - 2217-7183
pISSN - 1451-4869
DOI - 10.2298/sjee1301001a
Subject(s) - biometrics , computer science , mutual information , entropy (arrow of time) , iris recognition , cryptography , key (lock) , iris (biosensor) , data mining , wavelet , pattern recognition (psychology) , artificial intelligence , computer security , physics , quantum mechanics
The paper presents a rigorous analysis of iris biometric information for the synthesis of an optimized system for the extraction of a high quality cryptology key. Estimations of local entropy and mutual information were identified as segments of the iris most suitable for this purpose. In order to optimize parameters, corresponding wavelets were transformed, in order to obtain the highest possible entropy and mutual information lower in the transformation domain, which set frameworks for the synthesis of systems for the extraction of truly random sequences of iris biometrics, without compromising authentication properties. [Projekat Ministarstva nauke Republike Srbije, br. TR32054 i br. III44006

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