%0 Conference Proceedings
%T A Multimodal Face and Fingerprint Recognition Biometrics System
%+ Białystok University of Technology
%A Szymkowski, Maciej
%A Saeed, Khalid
%Z Part 2: Biometrics and Pattern Recognition Applications
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Bialystok, Poland
%Y Khalid Saeed
%Y Władysław Homenda
%Y Rituparna Chaki
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-10244
%P 131-140
%8 2017-06-16
%D 2017
%R 10.1007/978-3-319-59105-6_12
%K Face
%K Fingerprint
%K Biometrics
%K Physiological biometrics
%K Identification
%K Security systems
%K Multimodal systems
%K Fusion
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Biometrics helps protect users’ data against hackers. There are two groups of biometrics features, the first contains physiological features and the second consists of behavioral traits. In the case of biometrics safety procedure the user does not need to remember his/her password because they always have them. It is proved that physiological biometrics can grant higher accuracy than systems that base on behavioral traits. One of the most popular physiological features are fingerprints and face. In the work presented in this paper, these two features are taken into consideration at the same time in a multimodal system. The accuracy of user identification is calculated for each of the two features individually and also for them when combined together.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01656231/document
%2 https://inria.hal.science/hal-01656231/file/448933_1_En_12_Chapter.pdf
%L hal-01656231
%U https://inria.hal.science/hal-01656231
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-10244