<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns="http://www.loc.gov/MARC21/slim">
	<record>
		<datafield tag="980" ind1=" " ind2=" ">
			<subfield code="a">REPORT</subfield>
		</datafield>
		<datafield tag="970" ind1=" " ind2=" ">
			<subfield code="a">marcel:bancaface:2003/IDIAP</subfield>
		</datafield>
		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">Face Verification using LDA and MLP on the BANCA database</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Marcel, Sébastien</subfield>
		</datafield>
		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/reports/2003/rr03-66.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
		</datafield>
		<datafield tag="088" ind1=" " ind2=" ">
			<subfield code="a">Idiap-RR-66-2003</subfield>
		</datafield>
		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2003</subfield>
			<subfield code="b">IDIAP</subfield>
		</datafield>
		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">In this paper, we propose a system for face verification. It describes in detail each stage of the system: the modeling of the face, the extraction of relevant features and the classification of the input face as a client or an impostor. This system is based on LDA feature extraction, successfully used in previous st and MLP for classification. Experiments were carried out on a difficult multi-modal database, namely BANCA. Results show that our approach perform better than the state-of-the-art on the same database. Experiments show also contradictory results in the state-of-the-art literature.</subfield>
		</datafield>
	</record>
</collection>