Research on data fusion of multiple biometric features

Author

Liu, Liu ; Gu, Xiao Feng ; Li, Jian Ping ; Lin, Jie ; Shi, Jin Xin ; Huang, Yuan Yuan

Author_Institution

Sch. of Software Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2009

fDate

23-25 Oct. 2009

Firstpage

112

Lastpage

115

Abstract

Given uncertain status reports or notes come from multi-sensor, identity fusion further makes them integrate information and jointly determine the observed entities. This paper discusses an improved data fusion approach to multi-biometric feature, including face, fingerprint and iris image. The approach is called improved multiple biometric data fusion algorithm, based on the eigen-face and the Gabor wavelet methods, incorporating the advantages of the single algorithm. Now we have built a new fusion system, which has demonstrated the improved performance over single biometric systems.

Keywords

biometrics (access control); eigenvalues and eigenfunctions; identification; security of data; sensor fusion; wavelet transforms; Gabor wavelet method; eigenface method; face image; fingerprint image; improved multiple biometric data fusion algorithm; iris image; multiple biometric features; single biometric systems; Biometrics; Decision making; Feature extraction; Information analysis; Infrared sensors; Manufacturing automation; Process control; Robot control; Sensor fusion; Sensor phenomena and characterization; Data fusion; Gabor wavelet; identification; multi-biometric feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5204-0

Electronic_ISBN

978-1-4244-5206-4

Type

conf

DOI

10.1109/ICACIA.2009.5361140

Filename

5361140