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2020-06-01
Giełczyk, Agata, Choraś, Michał, Kozik, Rafał.  2018.  Hybrid Feature Extraction for Palmprint-Based User Authentication. 2018 International Conference on High Performance Computing Simulation (HPCS). :629–633.
Biometry is often used as a part of the multi-factor authentication in order to improve the security of IT systems. In this paper, we propose the palmprint-based solution for user identity verification. In particular, we present a new approach to feature extraction. The proposed method is based both on texture and color information. Our experiments show that using the proposed hybrid features allows for achieving satisfactory accuracy without increasing requirements for additional computational resources. It is important from our perspective since the proposed method is dedicated to smartphones and other handhelds in mobile verification scenarios.
2017-08-02
Dürmuth, Markus, Oswald, David, Pastewka, Niklas.  2016.  Side-Channel Attacks on Fingerprint Matching Algorithms. Proceedings of the 6th International Workshop on Trustworthy Embedded Devices. :3–13.

Biometric authentication schemes are frequently used to establish the identity of a user. Often, a trusted hardware device is used to decide if a provided biometric feature is sufficiently close to the features stored by the legitimate user during enrollment. In this paper, we address the question whether the stored features can be extracted with side-channel attacks. We consider several models for types of leakage that are relevant specifically for fingerprint verification, and show results for attacks against the Bozorth3 and a custom matching algorithm. This work shows an interesting path for future research on the susceptibility of biometric algorithms towards side-channel attacks.