Title :
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
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;
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
DOI :
10.1109/ICACIA.2009.5361140