Presentation 2018-05-24
A probabilistic verification method using multi-feature for environment-robust biometrics
Hidetsugu Uchida, Narishige Abe, Shigefumi Yamada,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper reports a probabilistic veri?cation method using multi-feature for environment-robust biometrics. In biometrics, veri?cation is performed by comparing features which are extracted to contain individuality from biometric information such as face images. However, as well as individuality, those features contain undesired information derived from environmental variations where biometric information is captured. The undesired information is mixed the feature as distortions and degrades veri?cation performance. Toward to environment-robust veri?cation, probabilistic linear discriminative analysis (PLDA)-based veri?cation has been studied. PLDA models individuality space and environment space with large learning data and can perform veri?cation referring both of twospaceinwhole. Inthispaper, PLDAisextendedtodealwithtwokindsoffeaturesextractedfromonebiometric information simultaneously. This proposed model can model individuality space and environment space with the two kinds of features. In results of experiments using face images, the proposed model is superior to conventional PLDA.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Biometrics / veri?cation score / generative model / probabilistic linear discriminative analysis / probabilistic canonical correlation analysis
Paper # BioX2018-3
Date of Issue 2018-05-17 (BioX)

Conference Information
Committee BioX / ITE-ME / ITE-IST
Conference Date 2018/5/24(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kanazawa Univ. Nishimachi Satelite Plaza
Topics (in Japanese) (See Japanese page)
Topics (in English) Biometrics, etc.
Chair Kazuhiko Sumi(AGU) / 田川 憲男(首都大) / Takayuki Hamamoto(TUS)
Vice Chair Hiroshi Takano(Toyama Pref. Univ.) / Hitoshi Imaoka(NEC) / / Junichi Akita(Kanazawa Univ.)
Secretary Hiroshi Takano(Shizuoka Univ.) / Hitoshi Imaoka(Fujitsu Labs.) / (日本工業大) / Junichi Akita
Assistant Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Norihiro Okui(KDDI Research) / 村松 正吾(新潟大) / 広明 敏彦(NEC) / 望月 貴裕(NHK)

Paper Information
Registration To Technical Committee on Biometrics / Technical Group on Media Engineering / Technical Group on Information Sensing Technologies
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A probabilistic verification method using multi-feature for environment-robust biometrics
Sub Title (in English)
Keyword(1) Biometrics
Keyword(2) veri?cation score
Keyword(3) generative model
Keyword(4) probabilistic linear discriminative analysis
Keyword(5) probabilistic canonical correlation analysis
1st Author's Name Hidetsugu Uchida
1st Author's Affiliation FUJITSU LABORATORIES LTD.(FUJITSU LAB.)
2nd Author's Name Narishige Abe
2nd Author's Affiliation FUJITSU LABORATORIES LTD.(FUJITSU LAB.)
3rd Author's Name Shigefumi Yamada
3rd Author's Affiliation FUJITSU LABORATORIES LTD.(FUJITSU LAB.)
Date 2018-05-24
Paper # BioX2018-3
Volume (vol) vol.118
Number (no) BioX-55
Page pp.pp.21-26(BioX),
#Pages 6
Date of Issue 2018-05-17 (BioX)