Gait recognition has become a popular new biometric in the last decade. Good recognition results have been achieved using different gait techniques on several databases. However, not much attention has been paid to get major questions: how good are biometrics data; how many subjects are needed to cover diversity of population (hypothetical or actual) in gait and how many samples per subject will give good representation of similarities and differences in the gait of the same subject. In this paper we try to answer these questions from the point of view of statistical analysis not only for gait recognition but for other biometrics as well. Though we do not think that we have a whole answer, we content this is the start of the answer. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Veres, G. V., Nixon, M. S., & Carter, J. N. (2006). Is enough enough? What is sufficiency in biometrie data? In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4142 LNCS, pp. 262–273). Springer Verlag. https://doi.org/10.1007/11867661_24
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