Fusing Iris, Palmprint and Fingerprint in a Multi-Biometric Recognition System

被引：8
|
作者：
Naderi, Habibeh [1 ]
Soleimani, Behrouz Haji [1 ]
Matwin, Stan [1 ]
Araabi, Babak Nadjar [2 ]
Soltanian-Zadeh, Hamid [2 ]
机构：
[1] Dalhousie Univ, Fac Comp Sci, Halifax, NS, Canada
[2] Univ Tehran, Dept Elect & Comp Engn, Tehran, Iran
来源：
2016 13TH CONFERENCE ON COMPUTER AND ROBOT VISION (CRV) | 2016年
关键词：
Decision Fusion; Multi-modal Biometrics; Iris Recognition; Fingerprint Recognition; Palmprint Recognition; Human Identification;
D O I：
10.1109/CRV.2016.18
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
This paper presents a trimodal biometric recognition system based on iris, palmprint and fingerprint. Wavelet transform and Gabor filter are used to extract features in different scales and orientations from iris and palmprint. Minutiae extraction and alignment is used for fingerprint matching. Six different fusion algorithms including score-based, rank-based and decision-based methods are used to combine the results of three modules. We also propose a new rank-based fusion algorithm Maximum Inverse Rank (MIR) which is robust with respect to variations in scores and also bad ranking from a module. CASIA datasets for iris, palmprint and fingerprint are used in this study. The experiments show the effectiveness of our fusion method and our trimodal biometric recognition system in comparison to existing multi-modal recognition systems.
引用
收藏
页码：327 / 334
页数：8
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