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		<citationkey>FalgueraFalgMara:2007:FrSiRe</citationkey>
		<author>Falguera, Juan Rogelio,</author>
		<author>Falguera, Fernanda Pereira Sartori,</author>
		<author>Marana, Aparecido Nilceu,</author>
		<affiliation>UNESP - School of Sciences - Department of Computing - Bauru - SP - Brazil</affiliation>
		<affiliation>UNESP - School of Sciences - Department of Computing - Bauru - SP - Brazil</affiliation>
		<affiliation>UNESP - School of Sciences - Department of Computing - Bauru - SP - Brazil</affiliation>
		<title>Frontal Sinus Recognition Using Image Foresting Transform and Shape Context</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<year>2007</year>
		<editor>Gonçalves, Luiz,</editor>
		<editor>Wu, Shin Ting,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Oct. 7-10, 2007</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<keywords>biometrics, human identification, frontal sinus recognition.</keywords>
		<abstract>It has been established in prior investigations that the radiographic pattern of frontal sinus is highly variable and unique for every individual. This paper presents a frontal sinus recognition method, for human identification, based on DIFT and Shape Context algorithms. Experimental results show the effectiveness of the proposed method.</abstract>
		<language>en</language>
		<tertiarytype>Technical Poster</tertiarytype>
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