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A Quality Assessment Method of Biometrics for Estimating Authentication Result in User Authentication System  

Kim, Ae-Young (이화여자대학교 컴퓨터공학과)
Lee, Sang-Ho (이화여자대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.2, 2010 , pp. 242-246 More about this Journal
Abstract
In this paper, we propose a quality assessment method of biometrics for estimating an authentication result in an user authentication system. The proposed quality assessment method is designed to compute a quality score called CIMR (Confidence Interval Matching Ratio) as a result by small-sample analysis like T-test. We use the C/MR-based quality assessment method for testing how to well draw a distinction between various biometrics in a multimodal biometric system. We also test a predictability for authentication results of obtained biometrics using the mean $\bar{X}$ and the variance $s^2$ in T-test-based CIMR. As a result, we achieved the maximum 88% accuracy for estimation of user authentication results.
Keywords
Authentication; Biometrics; Quality assessment of face image; Estimation of Recognition Result;
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