The corrected normalized correlation coefficient: a novel way of matching score calculation for LDA-based face verification. Proceedings of the IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08), 4 , IEEE, Jinan, China, 2008, ISBN: 978-0-7695-3305-6.
Abstract
The paper presents a novel way of matching score calculation for LDA-based face verification. Different from the classical matching schemes, where the decision regarding the identity of the user currently presented to the face verification system is made based on the similarity (or distance) between the "live" feature vector and the template of the claimed identity, we propose to employ a measure we named the corrected normalized correlation coefficient, which considers both the similarity with the template of the claimed identity as well as the similarity with all other templates stored in the database. The effectiveness of the proposed measure was assessed on the publicly available XM2VTS database where encouraging results were achieved.
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@conference{FSKD208,
title = {The corrected normalized correlation coefficient: a novel way of matching score calculation for LDA-based face verification},
author = {Vitomir \v{S}truc and Nikola Pave\v{s}i\'{c}},
url = {http://luks.fe.uni-lj.si/nluks/wp-content/uploads/2016/09/FSKD.pdf},
doi = {10.1109/FSKD.2008.334},
isbn = {978-0-7695-3305-6},
year = {2008},
date = {2008-10-01},
booktitle = {Proceedings of the IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'08)},
volume = {4},
pages = {110-115},
publisher = {IEEE},
address = {Jinan, China},
abstract = {The paper presents a novel way of matching score calculation for LDA-based face verification. Different from the classical matching schemes, where the decision regarding the identity of the user currently presented to the face verification system is made based on the similarity (or distance) between the "live" feature vector and the template of the claimed identity, we propose to employ a measure we named the corrected normalized correlation coefficient, which considers both the similarity with the template of the claimed identity as well as the similarity with all other templates stored in the database. The effectiveness of the proposed measure was assessed on the publicly available XM2VTS database where encouraging results were achieved.},
keywords = {biometrics, face verification, lda, matching score calculation},
pubstate = {published},
tppubtype = {conference}
}