NDLI: Algorithm to estimate biometric performance change over time

Content Provider	IET Digital Library
Author	Poh, Norman Kittler, Josef Chan, Chi Ho Pandit, Medha
Abstract	The authors present an algorithm that models the rate of change of biometric performance over time on a subject-dependent basis. It is called ‘homomorphic users grouping algorithm’. Although the model is based on very simplistic assumptions that are inherent in linear regression, it has been applied successfully to estimate the performance of talking face and speech identity verification modalities, as well as their fusion, over a period of more than 600 days. Their experiments carried out on the MOBIO database show that subjects exhibit very different performance trends. Although the performance of some users degrades over time, which is consistent with the literature, they also found that for a similar proportion of users, their performance actually improves with use. The latter finding has never been reported in the literature. Hence, their findings suggest that the problem of biometric performance degradation may be not as serious as previously thought, and so far, the community has ignored the possibility of improved biometric performance over time. The findings also suggest that adaptive biometric systems, that is, systems that attempt to update biometric templates, should be subject-dependent.
Starting Page	236
Ending Page	245
Page Count	10
ISSN	20474938
Volume Number	4
e-ISSN	20474946
Issue Number	Issue 4, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/4/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2014.0107
Journal	IET Biometrics
Publisher Date	2015-12-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Biometric System Biometric Performance Change Biometric Templates Biomimetics Homomorphic User Grouping Algorithm Linear Regression MOBIO Database Regression Analysis Speech Identity Verification Modalities Speech Processing Technique Speech Recognition Speech Recognition And Synthesis Statistics Subject-dependent Basis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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