Feature Selection and its Evaluation in Binaural Ear Acoustic Authentication

Yasuhara M, Yano S, Arakawa T, Koshinaka T. Feature Selection and its Evaluation in Binaural Ear Acoustic Authentication. In: AES Convention 146. Audio Engineering Society; 2019. Paper 10160. Available from: https://aes.org/publications/elibrary-page/?id=20293

@inproceedings{Yasuhara2019_20293,
  author = {Yasuhara, Masaki and Yano, Shohei and Arakawa, Takayuki and Koshinaka, Takafumi},
  title = {{Feature Selection and its Evaluation in Binaural Ear Acoustic Authentication}},
  booktitle = {AES Convention 146},
  note = {Paper 10160},
  year = {2019},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20293}
}

TY  - CPAPER
TI  - Feature Selection and its Evaluation in Binaural Ear Acoustic Authentication
AU  - Yasuhara, Masaki
AU  - Yano, Shohei
AU  - Arakawa, Takayuki
AU  - Koshinaka, Takafumi
T2  - AES Convention 146
M1  - Paper 10160
PY  - 2019
DA  - 2019/03/06
UR  - https://aes.org/publications/elibrary-page/?id=20293
PB  - Audio Engineering Society
LA  - en
AB  - Ear acoustic authentication is a type of biometric authentication that uses the ear canal transfer characteristics that show the acoustic characteristics of the ear canal. In ear acoustic authentication, biological information can be acquired from both ears. However, extant literature on an accuracy improvement method using binaural features is inadequate. In this study we experimentally determine a feature that represents the difference between each user to perform a highly accurate authentication. Feature selection was performed by changing the combination of binaural features, and they were evaluated using the ratio of between-class and within-class variance and equal error ratio (EER). We concluded that a method that concatenates the features of both ears has the highest performance.
ER  -