Affiliations:
UTP University of Science and Technology, Bydgoszcz, Poland
Correspondence:
[*]
Corresponding author. Agata Giełczyk, UTP University of Science and Technology, Bydgoszcz, Poland. E-mail: [email protected].
Abstract: Biometrics, as an intelligent and secure authentication method, has recently become increasingly popular. Modern society uses fingerprints, iris and face recognition on a daily basis, even on a large scale; for example, in biometric passports. However, there are still other biometric traits that may provide sufficiently high accuracy but have not been widely implemented so far, e.g. palmprints. In this article, we propose a novel human-centred method of palmprint-based user verification. The proposed method is dedicated to the mobile devices and provides the accuracy reaching 94.5%. Moreover, the method is time-computing efficient and gives the response in less than 0.2 s. All the experiments described in the article were performed using the benchmark PolyU database and three widely available mobile phones.
Keywords: Mobile biometrics, palmprint, pattern recognition, intelligent user authentication, security, image processing
