AES E-Library

AES E-Library

Feature Selection and its Evaluation in Binaural Ear Acoustic Authentication

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.

AES Convention: Paper Number:
Publication Date:

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

AES - Audio Engineering Society