Abstract
Many smartphones are equipped with a biometric authentication function to prevent their unauthorized use. An authentication method using palmprint as a physical feature has been proposed. Palmprints can be authenticated without special devices because the features of palmprints can be acquired using a smartphone camera. However, impersonation may be performed using user photographs. In this study, we examine a liveness detection method against a presentation attack in palmprint authentication using a smartphone. Assuming impersonation using familiar media, we consider attacks using printed and displayed images. In the attack image of the printed and displayed palms, we focus on the characteristics of resolution degradation caused by ink bleeding and the moiré (interference fringe) caused when capturing the attack palm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Echizen, I., Ogane, T.: BiometricJammer: method to prevent acquisition of biometric information by surreptitious photography on fingerprints. IEICE Trans. Inf. Syst. E101-D(1), 2–12 (2018)
Chaos Computer Club: Fingerprint biometric hacked again. https://www.ccc.de/en/updates/2014/ursel
Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62–66 (1979)
Ota, H., Aoyama, S., Watanabe, R., Ito, K., Miyake, Y., Aoki, T.: Implementation and evaluation of a remote authentication system using touchless palmprint recognition. Multimedia Syst. 19(2), 117–129 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Sugimoto, A. et al. (2020). A Liveness Detection Method for Palmprint Authentication. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_60
Download citation
DOI: https://doi.org/10.1007/978-3-030-39512-4_60
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-39511-7
Online ISBN: 978-3-030-39512-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)