کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
533434 | 870118 | 2012 | 9 صفحه PDF | دانلود رایگان |

We address the problem of measuring the dependency of multibiometric systems' scores, using Kolmogorov–Smirnov and Mutual Information criteria, and studying the validity of performance evaluation on chimeric persons. On the NIST-BSSR1 database, we formalize a common assumption in the literature: for independent scores, multibiometric systems can be evaluated on “random chimeric” persons. We show that this is not valid for dependent scores and propose a novel protocol for building “cluster-based chimeric” persons maintaining the level of dependency between scores. Finally, we show that performance evaluation for dependent modalities on such persons is equivalent to that obtained on “real” persons.
► Measuring dependency of multibiometric systems' scores, using statistical criteria.
► Validity of multibiometric systems' performance evaluation on chimeric persons.
► Novel protocol for building chimeric persons maintaining dependency between scores.
► Evaluation on such chimeric persons is equivalent to that obtained on real persons.
Journal: Pattern Recognition - Volume 45, Issue 1, January 2012, Pages 119–127