Multimodal Biometric Recognition Based on Complez KFDA

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 plus 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.

作者: Zhifang Wang Qiong Li Xiamu Niu Christoph Busch

作者单位: Harbin Institute of Technology Harbin,China 150001 NISlab,Gjovik University College Gjovik,Norway N-2802

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 177-180

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）