Abstract:
This paper addresses the problem of determining whether an observed subject has already been seen in a stream of biometric samples. Given a new sample, unlike the common ...Show MoreMetadata
Abstract:
This paper addresses the problem of determining whether an observed subject has already been seen in a stream of biometric samples. Given a new sample, unlike the common practice of comparing a related match score to a constant threshold, this work introduces a function which takes as input the match score and the position of that sample in the stream, and produces as output a duplicate/non-duplicate decision. The rationale behind the proposal is the expected dependence of the reliability of a match score on the amount and quality of the enrolled identities. The position plays the role of a (very basic) context to properly judge a related match score. Experiments were designed on two well-known gait databases under three types of sample arrangement, which recreate scenarios of different complexity levels. Non-parametric statistical tests applied on detection results showed the superiority of the proposed adaptive approach over threshold-based solutions.
Date of Conference: 04-08 December 2016
Date Added to IEEE Xplore: 24 April 2017
ISBN Information: