Complex common vector for multimodal biometric recognition

被引：1

作者：

Wang, Z. F. ^{[1
]}

Han, Q. ^{[1
]}

Li, Q. ^{[1
]}

Niu, X. M. ^{[1
]}

Busch, C. ^{[2
]}

机构：

[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150006, Peoples R China

[2] Gjovik Univ Coll, Norwegian Informat Secur Lab, Gjovik, Norway

来源：

ELECTRONICS LETTERS | 2009年 / 45卷 / 10期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1049/el.2009.0274

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel multimodal biometric recognition algorithm based on a complex common vector (CCV) is proposed. The CCV generalises the common vector method for the complex field to perform feature fusion and classification. Theoretical analysis proves that the CCV could produce a unique common vector for every fusion feature in a given class. The iris and the face are used as two distinct biometric modals to test the algorithm. Experimental results show that the proposed algorithm achieves much better performance than other conventional multimodal biometric algorithms.

引用

页码：495 / 496

页数：2

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