Fusion at Decision Level in Multimodal Biometric Authentication System using Iris and Finger Vein with Novel Feature Extraction

被引：0

作者：

Sudhamani, M. J. ^{[1
]}

Venkatesha, M. K. ^{[1
]}

Radhika, K. R. ^{[2
]}

机构：

[1] RNS Inst Technol, Bangalore, Karnataka, India

[2] BMS Coll Engn, Bangalore, Karnataka, India

来源：

2014 ANNUAL IEEE INDIA CONFERENCE (INDICON) | 2014年

关键词：

Multimodal biometrics; Feature extraction; Local Binary Pattern; Decision level Fusion;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A Multimodal authentication system with fusion at decision level employing Iris and Finger Vein is developed. This paper also proposes a novel feature extraction technique for finger vein and iris traits. This approach combines the decisions from the individual modalities using the conventional AND rule. Experimental results demonstrate the effectiveness of the proposed multimodal authentication system for accurate person authentication.

引用

页数：6

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