Multimodal Biometric Recognition Based on Complex KFDA

被引：0

作者：

Wang, Zhifang ^{[1
]}

Li, Qiong ^{[1
]}

Niu, Xiamu ^{[1
]}

Busch, Christoph ^{[2
]}

机构：

[1] Harbin Inst Technol, Harbin 150001, Peoples R China

[2] Gjovik Univ Coll, NISlab, N-2802 Gjovik, Norway

来源：

FIFTH INTERNATIONAL CONFERENCE ON INFORMATION ASSURANCE AND SECURITY, VOL 2, PROCEEDINGS | 2009年

基金：

中国国家自然科学基金;

关键词：

FRAMEWORK;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

A novel multimodal biometric recognition algorithm based on complex kernel Fisher discriminant analysis (complex KFDA) is proposed. Complex KFDA exploits two phases to generalize KFDA and perform classification for the fusion feature set: complex KPCA phis complex LDA. As two distinct biometric modals, the features of iris and face are fused in parallel to test our algorithm. Experimental results show that the proposed algorithm achieves much better performance than other conventional multimodal biometric algorithms.

引用

页码：177 / +

页数：2

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