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		<citationkey>MagalhãesPamp:2015:AuFaCo</citationkey>
		<title>Autenticação facial contínua usando imagens de infravermelho</title>
		<format>On-line</format>
		<year>2015</year>
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		<author>Magalhães, Matheus Batista dos Santos,</author>
		<author>Pamplona, Maurício Segundo,</author>
		<affiliation>Universidade Federal da Bahia</affiliation>
		<affiliation>Universidade Federal da Bahia</affiliation>
		<editor>Vieira, Thales Miranda de Almeida,</editor>
		<editor>Mello, Vinicius Moreira,</editor>
		<e-mailaddress>matheus.beep@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)</conferencename>
		<conferencelocation>Salvador</conferencelocation>
		<date>Aug. 26-29, 2015</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Undergraduate Work</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>reconhecimento facial, infravermelho, padrões binários locais, autenticação contínua.</keywords>
		<abstract>Many authentication systems have been developed, including the ones that use face recognition. However, most of them are affected by changes in environmental illumination and cannot ensure than only the allowed user uses the system. To accomplish this challenge, we present a continuous infrared-based face authentication system to reach illumination invariance. At the best of our knowledge, this is the first system that uses infrared images for continuous authentication. We evaluated our system on four 1000 frames long videos and achieved a 93% true positive rate.</abstract>
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