A Multimodal Face and Fingerprint Recognition Biometrics System

Abstract : 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.
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Communication dans un congrès
Khalid Saeed; Władysław Homenda; Rituparna Chaki. 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. Springer International Publishing, Lecture Notes in Computer Science, LNCS-10244, pp.131-140, 2017, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-59105-6_12〉
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Maciej Szymkowski, Khalid Saeed. A Multimodal Face and Fingerprint Recognition Biometrics System. Khalid Saeed; Władysław Homenda; Rituparna Chaki. 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. Springer International Publishing, Lecture Notes in Computer Science, LNCS-10244, pp.131-140, 2017, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-59105-6_12〉. 〈hal-01656231〉

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