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		<lastupdate>2018:10.21.17.37.17 sid.inpe.br/banon/2001/03.30.15.38 rcbresan@gmail.com</lastupdate>
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		<citationkey>BresanRezeBeluCarv:2018:PrAtDe</citationkey>
		<title>Presentation Attack Detection by a Combination of Intrinsic Image Properties and a CNN</title>
		<format>On-line</format>
		<year>2018</year>
		<date>Oct. 29 - Nov. 1, 2018</date>
		<numberoffiles>1</numberoffiles>
		<size>1019 KiB</size>
		<author>Bresan, Rodrigo,</author>
		<author>Rezende, Edmar,</author>
		<author>Beluzo, Carlos,</author>
		<author>Carvalho, Tiago,</author>
		<affiliation>Federal Institute of Sao Paulo (IFSP)</affiliation>
		<affiliation>University of Campinas (UNICAMP)</affiliation>
		<affiliation>Federal Institute of Sao Paulo (IFSP)</affiliation>
		<affiliation>Federal Institute of Sao Paulo (IFSP), University of Campinas (UNICAMP)</affiliation>
		<editor>Ross, Arun,</editor>
		<editor>Gastal, Eduardo S. L.,</editor>
		<editor>Jorge, Joaquim A.,</editor>
		<editor>Queiroz, Ricardo L. de,</editor>
		<editor>Minetto, Rodrigo,</editor>
		<editor>Sarkar, Sudeep,</editor>
		<editor>Papa, João Paulo,</editor>
		<editor>Oliveira, Manuel M.,</editor>
		<editor>Arbeláez, Pablo,</editor>
		<editor>Mery, Domingo,</editor>
		<editor>Oliveira, Maria Cristina Ferreira de,</editor>
		<editor>Spina, Thiago Vallin,</editor>
		<editor>Mendes, Caroline Mazetto,</editor>
		<editor>Costa, Henrique Sérgio Gutierrez,</editor>
		<editor>Mejail, Marta Estela,</editor>
		<editor>Geus, Klaus de,</editor>
		<editor>Scheer, Sergio,</editor>
		<e-mailaddress>rcbresan@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 31 (SIBGRAPI)</conferencename>
		<conferencelocation>Foz do Iguaçu, PR, Brazil</conferencelocation>
		<booktitle>Proceedings</booktitle>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<documentstage>not transferred</documentstage>
		<transferableflag>1</transferableflag>
		<tertiarytype>Undergraduate Work</tertiarytype>
		<keywords>biometrics, presentation attack detection, PAD, intrinsic properties, anti-spoofing, facial recognition.</keywords>
		<abstract>The usage of face recognition for biometric systems has become widely adopted, since it allows the usage of a trait that is accessible to most of the people. Despite important progress on the field of face recognition, there is still a lack of works whose focus consists on the detection of presentation attacks. Presentation attacks occur when an imposter presents a synthetic sample in order to impersonate a valid user. For face biometric systems, this kind of attack is performed using a photograph, by playing a video of the user (commonly known as replay attack) or by making usage of 3D masks. Hereby, we propose a low-cost solution to detect these kind of attacks without the need of extra hardware. Our hypothesis is based on the fact that, through the extraction of intrinsic image properties, such as depth, saliency and illumination, it is possible to distinguish between a real biometric sample and a synthetic one. Performed experiments show that the proposed method achieved HTER values of 41.64% and 3.88% in inter and intra protocols respectively, achieving near state-of-the-art results.</abstract>
		<language>en</language>
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		<usergroup>rcbresan@gmail.com</usergroup>
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