mlsanityData to 7 Oct 2026

Multimodal Personal Ear Authentication Using Smartphones

arXiv 2103.12575 ↗First posted 23 Mar 2021cs.CV cs.CR eess.IVcited by 0

Not on the map. Why?

Abstract (arXiv)

In recent years, biometric authentication technology for smartphones has become widespread, with the mainstream methods being fingerprint authentication and face recognition. However, fingerprint authentication cannot be used when hands are wet, and face recognition cannot be used when a person is wearing a mask. Therefore, we examine a personal authentication system using the pinna as a new approach for biometric authentication on smartphones. Authentication systems based on the acoustic transfer function of the pinna (PRTF: Pinna Related Transfer Function) have been investigated. However, the authentication accuracy decreases due to the positional fluctuation across each measurement. In this paper, we propose multimodal personal authentication on smartphones using PRTF. The pinna image and positional sensor information are used with the PRTF, and the effectiveness of the authentication method is examined. We demonstrate that the proposed authentication system can compensate for the positional changes in each measurement and improve robustness.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 24 references that are in the map. First posted on arXiv 23 Mar 2021.

Builds on

6 of 24 references.

References · 6

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  2. 2016Ear Recognition: More Than a Surveycited by 15
  3. 2018Domain Adaptation for Ear Recognition Using Deep Convolutional Neural Networkscited by 5
  4. 2017The Unconstrained Ear Recognition Challengecited by 4
  5. 2017Training Convolutional Neural Networks with Limited Training Data for Ear Recognition in the Wildcited by 4
  6. 2017Multi-sensor authentication to improve smartphone securitycited by 2

Built on by

Not cited yet.