CONFIDENCE MEASURE FOR AUTOMATIC FACE RECOGNITION

Ladislav Lenc, Pavel Král

2011

Abstract

This paper deals with the use of confidence measure for Automatic Face Recognition (AFR). AFR is realized by the adapted Kepenecki face recognition approach based on the Gabor wavelet transform. This work is motivated by the fact that obtained recognition rate on the real-world corpus is only about 50% which is not sufficient for our application, a system for automatic labelling of the photographs in a large database. The main goal of this work is thus the proposition of the post-processing of the classification result in order to remove the “incorrectly” classified face images. We show that the use of confidence measure to filter out incorrectly recognized faces is beneficial. Two confidence measures are proposed and evaluated on the Czech News Agency (¡CTK) corpus. Experimental results confirm the benefit of the use of confidence measure for the automatic face recognition task.

Paper Citation

in Harvard Style

Lenc L. and Král P. (2011). CONFIDENCE MEASURE FOR AUTOMATIC FACE RECOGNITION . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 357-360. DOI: 10.5220/0003690403650368

in Bibtex Style

@conference{kdir11,
author={Ladislav Lenc and Pavel Král},
title={CONFIDENCE MEASURE FOR AUTOMATIC FACE RECOGNITION},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},
year={2011},
pages={357-360},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003690403650368},
isbn={978-989-8425-79-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)
TI - CONFIDENCE MEASURE FOR AUTOMATIC FACE RECOGNITION
SN - 978-989-8425-79-9
AU - Lenc L.
AU - Král P.
PY - 2011
SP - 357
EP - 360
DO - 10.5220/0003690403650368