User-specific Score Normalization and Fusion for Biometric Person Recognition
Advanced Topics in Biometrics
World Scientific Publisher
Every person is unique. This uniqueness is not only prevalent in his/her biometric traits, but also in the way he/she interacts with a biometric device. A recent trend in tailoring a biometric system to each user (client) is by normalizing the match score for each claimed identity. This technique is called user- (or client-) speciﬁc score normalization. This concept can naturally be extended to the multimodal biometrics where several biometric devices and/or traits are involved. This chapter gives a survey on user-speciﬁc score normalization as well as compares several representative techniques in this research direction. It also shows how this technique can be used for designing an effective user-speciﬁc fusion classiﬁer. The advantage of this approach, compared to the direct design of such a fusion classiﬁer, is that much less genuine data is needed. Several potential research directions are also outlined.
|EPrint Type:||Book Section|
|Project Keyword:||Project Keyword UNSPECIFIED|
|Deposited By:||Norman Poh|
|Deposited On:||21 February 2012|