| Title | A Study on Personal Authentication System Using Pinna Related Transfer Function and Other Sensor Information |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Masuda, Sora, Itani, Shunji, Kajikawa, Yoshinobu, Kita, Shunsuke |
| Conference Name | 2021 20th International Symposium on Communications and Information Technologies (ISCIT) |
| Keywords | Acoustic Fingerprints, authentication, biometric authentication, composability, Convolutional Neural Network(CNN), Deep Neural Network(DNN), face recognition, Fingerprint recognition, Fingers, Fluctuations, Human Behavior, Multimodal authentication, Pinna Related Transfer Function (PRTF), pubcrawl, Resiliency, Time series analysis, Transfer functions |
| Abstract | In recent years, biometric authentication, such as fingerprint and face recognition, has become widespread in smartphones. However, fingerprint and face authentication have the problem that they cannot be used depending on the condition of the user's fingers or face. Therefore, we have been investigating a new biometric authentication system using pinna as a personal authentication system for smart phones. We have studied a personal authentication system using the Pinna Related Transfer Function (PRTF), which is an acoustic transfer function measured from the pinna. However, since the position of the smartphone changes every time it is placed on the ear, there is a problem that the authentication rate decreases. In this paper, we propose a multimodal personal authentication system using PRTF, pinna images, and smartphone location information, and verify its effectiveness. The results show that the proposed authentication system can improve the robustness against the fluctuation of the smartphone location. |
| DOI | 10.1109/ISCIT52804.2021.9590625 |
| Citation Key | masuda_study_2021 |
A Study on Personal Authentication System Using Pinna Related Transfer Function and Other Sensor Information