MULTI-DISCRIMINANT CLASSIFICATION ALGORITHM FOR FACE VERIFICATION

Cheng-Ho Huang, Jhing-Fa Wang

2008

Abstract

Linear discriminant analysis (LDA) is a conventional approach for face verification. For computing large amounts of data collected for a given face verification system, this study proposes a multi-discriminant classification algorithm to classify and verify voluminous facial images. In the training phase, the algorithm extracts all discriminant features of the training data, and classifies them as the clients’ multi-discriminant sets. The algorithm verifies a claim to the client’s multi-discriminant set, and then determines whether the claimant is the client. Comparative results demonstrate that the proposed algorithm reduces the false acceptance rate in face verification.

Paper Citation

in Harvard Style

Huang C. and Wang J. (2008). MULTI-DISCRIMINANT CLASSIFICATION ALGORITHM FOR FACE VERIFICATION . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 299-304. DOI: 10.5220/0001082202990304

in Bibtex Style

@conference{visapp08,
author={Cheng-Ho Huang and Jhing-Fa Wang},
title={MULTI-DISCRIMINANT CLASSIFICATION ALGORITHM FOR FACE VERIFICATION},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={299-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001082202990304},
isbn={978-989-8111-21-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - MULTI-DISCRIMINANT CLASSIFICATION ALGORITHM FOR FACE VERIFICATION
SN - 978-989-8111-21-0
AU - Huang C.
AU - Wang J.
PY - 2008
SP - 299
EP - 304
DO - 10.5220/0001082202990304