Is Enough Enough? What Is Sufficiency in Biometric Data?

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.

[1]  P. Jonathon Phillips,et al.  Face recognition vendor test 2002 , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).

[2]  Mark S. Nixon,et al.  On a Large Sequence-Based Human Gait Database , 2004 .

[3]  Mark S. Nixon,et al.  Bayesian statistics and modelling , 2020, Nature Reviews Methods Primers.

[4]  Hyeonjoon Moon,et al.  The FERET Evaluation Methodology for Face-Recognition Algorithms , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Jeffrey F. Bromaghin,et al.  Sample Size Determination for Interval Estimation of Multinomial Probabilities , 1993 .

[6]  Isabelle Guyon,et al.  What Size Test Set Gives Good Error Rate Estimates? , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  H. Chernoff.  A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations , 1952 .

[8]  Ching-Han Chen,et al.  High performance iris recognition based on LDA and LPCC , 2005, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05).

[9]  Mark S. Nixon,et al.  Model-based approaches for predicting gait changes over time , 2005, 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

[10]  Mark S. Nixon,et al.  What image information is important in silhouette-based gait recognition? , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[11]  Craig I. Watson,et al.  Fingerprint Vendor Technology Evaluation 2003: Summary of Results and Analysis Report , 2004 .

[12]  Robert D. Tortora,et al.  A Note on Sample Size Estimation for Multinomial Populations , 1978 .

[13]  P. Jonathon Phillips,et al.  Face Recognition Vendor Test 2002: Overview and Summary , 2003 .

[14]  Steven K. Thompson,et al.  Sample Size for Estimating Multinomial Proportions , 1987 .