Biohashing with local Zernike moments for face verification (Yüz doğrulama için yerel Zernike momentleri ile biyometrik kıyım)

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Topçu, Berkay and Karabat, Çağatay and Erdoğan, Hakan (2014) Biohashing with local Zernike moments for face verification (Yüz doğrulama için yerel Zernike momentleri ile biyometrik kıyım). In: 22nd Signal Processing and Communications Applications Conference (SIU 2014), Trabzon, Turkey

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Abstract

Local Zernike moments (LZM) is a recently proposed image representation scheme that is shown to be successful for face representation. In this study, a face verification system which depends on biometric hashing scheme, that uses LZM features extracted from face images is proposed. With the proposed system, security and user privacy is ensured. Verification performance of the system, in which user specific secret keys are used for biometric hashing, is evaluated in two different scenarios, on the BioSecure face database. In the first scenario, biometric hashing is realized using each user's secret key and %0 equal error is obtained. In the second scenario, in which the secret key of a user is stolen by an adversary, biometric hashes are created using the stolen key and any biometric sample. In this case, the equal error rate increases to %8, 26, which is comparable to equal error rate of %6, 81, where only LZM feature vectors are used for verification.
Item Type: Papers in Conference Proceedings
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Telecommunications
Faculty of Engineering and Natural Sciences > Academic programs > Electronics
Faculty of Engineering and Natural Sciences
Depositing User: Hakan Erdoğan
Date Deposited: 21 Jan 2015 16:25
Last Modified: 26 Apr 2022 09:18
URI: https://research.sabanciuniv.edu/id/eprint/26654

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