Multimodal Biometrics for User Authentication

被引：0
|
作者：
Parkavi, R. [1 ]
Babu, K. R. Chandeesh [1 ]
Kumar, J. Ajeeth [1 ]
机构：
[1] Thiagarajar Coll Engn, Dept Informat Technol, Madurai, Tamil Nadu, India
来源：
PROCEEDINGS OF 2017 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO 2017) | 2017年
关键词：
fingerprint; iris; minutiae matching; edge detection; multimodal biometric;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The main aim of this paper is to provide multilevel authentication in biometric systems. Multimodal biometric is the usage of multiple biometric indicators by personal identification systems for identifying the individuals. Multimodal authentication provides more level of authentication than unimodal biometrics which uses only one biometric data such as fingerprint or face or palm print or iris. In this paper, we are using fingerprint and iris of a person for the automatic identification of an individual by combining finger print and iris of a person at the matching-score level. A technique called Minutiae matching and Edge detection is used for this purpose. The performance of the proposed technique has been evaluated and accuracy has been increased by minimizing the FAR (False Acceptance Rate) and FRR (False Rejection Rate).
引用
收藏
页码：501 / 505
页数：5
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