A Multimodal Face and Fingerprint Recognition Biometrics System

被引：3

作者：

Szymkowski, Maciej ^{[1
]}

Saeed, Khalid ^{[1
]}

机构：

[1] Bialystok Tech Univ, Fac Comp Sci, Bialystok, Poland

来源：

COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT (CISIM 2017) | 2017年 / 10244卷

关键词：

Face; Fingerprint; Biometrics; Physiological biometrics; Identification; Security systems; Multimodal systems; Fusion; FEATURE-EXTRACTION; ALGORITHM;

D O I：

10.1007/978-3-319-59105-6_12

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：131 / 140

页数：10

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