WIAMIS 2012, 13th International Workshop on Image Analysis for Multimedia Interactive Services, 23-25 May 2012, Dublin City University, Ireland
We investigate body soft biometrics capabilities to perform pruning of a hard biometrics database improving both retrieval speed and accuracy. Our pre-classification step based on
anthropometric measures is elaborated on a large scale medical dataset to guarantee statistical meaning of the results, and tested in conjunction with a face recognition algorithm. Our assumptions are verified by testing our system on a chimera dataset. We clearly identify the trade off among pruning, accuracy, and mensuration error of an anthropomeasure based
system. Even in the worst case of ±10%biased anthropometricmeasures, our approach improves the recognition accuracy guaranteeing that only half database has to be considered.
Type:
Conference
City:
Dublin
Date:
2012-05-23
Department:
Digital Security
Eurecom Ref:
3708
Copyright:
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