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Authors: Ladislav Lenc and Pavel Král

Affiliation: University of West Bohemia, Czech Republic

Keyword(s): Automatic face recognition, Confidence measure, Gabor wavelets, Czech news agency.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; BioInformatics & Pattern Discovery ; Clustering and Classification Methods ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Structured Data Analysis and Statistical Methods ; Symbolic Systems

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Lenc, L. and Král, P. (2011). CONFIDENCE MEASURE FOR AUTOMATIC FACE RECOGNITION. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR; ISBN 978-989-8425-79-9; ISSN 2184-3228, SciTePress, pages 357-360. DOI: 10.5220/0003690403650368

@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 (IC3K 2011) - KDIR},
year={2011},
pages={357-360},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003690403650368},
isbn={978-989-8425-79-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011) - KDIR
TI - CONFIDENCE MEASURE FOR AUTOMATIC FACE RECOGNITION
SN - 978-989-8425-79-9
IS - 2184-3228
AU - Lenc, L.
AU - Král, P.
PY - 2011
SP - 357
EP - 360
DO - 10.5220/0003690403650368
PB - SciTePress