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AVBPA
2001
Springer

Face Identification and Verification via ECOC

10 years 3 months ago
Face Identification and Verification via ECOC
We propose a novel approach to face identification and verification based on the Error Correcting Output Coding (ECOC) classifier design concept. In the training phase the client set is repeatedly divided into two ECOC specified sub-sets (super-classes) to train a set of binary classifiers. The output of the classifiers defines the ECOC feature space, in which it is easier to separate transformed patterns representing clients and impostors. As a matching score in this space we propose the average first order Minkowski distance between the probe and gallery images. The proposed method exhibits superior verification performance on the well known XM2VTS data set as compared with previously reported results.
Josef Kittler, Reza Ghaderi, Terry Windeatt, Jiri
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2001
Where AVBPA
Authors Josef Kittler, Reza Ghaderi, Terry Windeatt, Jiri Matas
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