Real-time continuous iris recognition for authentication using an eye tracker
Date: October 2012
Publication: Proceedings of the 2012 ACM Conference on Computer and Communications Security, CCS '12
Page(s): 1007 - 1009
Source 1: http://www.math.uaa.alaska.edu/~afkjm/papers/Iris-CCS2012.pdf
Source 2: http://dx.doi.org/10.1145/2382196.2382307 - Subscription or payment required
Abstract or Summary:
The majority of today's authentication systems, including password and fingerprint scanners, are based on one-time, static authentication methods. A continuous, real-time authentication system opens up the possibility for greater security, but such a system must be unobtrusive and secure. In this work we studied whether a commercial eye tracker can be used for unobtrusive, continuous, real-time user authentication via iris recognition. In a user study, all 37 participants could be authenticated with 11% equal error rate (EER). For 14 of the 37 users, iris occlusion was sufficiently small to authenticate with 9% EER. When classified using a k-nearest neighbors algorithm and only the right iris, the same data set allowed 100% accuracy for k = 3. Although these error rates are too high for standalone use, iris recognition via an eye tracker might enable real-time continuous authentication when combined with other more reliable authentication means (e.g., a password). As eye trackers become widely available their capabilities for multiple factor, continuous authentication will become compelling.
Do you have additional information to contribute regarding this research paper? If so, please email firstname.lastname@example.org with the details.