DocumentCode :
1800267
Title :
Multimodal Biometric Recognition Based on Complex KFDA
Author :
Wang, Zhifang ; Li, Qiong ; Niu, Xiamu ; Busch, Christoph
Author_Institution :
Harbin Inst. of Technol., Harbin, China
Volume :
2
fYear :
2009
fDate :
18-20 Aug. 2009
Firstpage :
177
Lastpage :
180
Abstract :
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.
Keywords :
biometrics (access control); face recognition; image fusion; pattern classification; complex kernel fisher discriminant analysis; distinct biometric modals; face recognition; fusion feature set; iris recognition; multimodal biometric recognition; Algorithm design and analysis; Background noise; Biometrics; Face recognition; Feature extraction; Fuses; Gabor filters; Iris recognition; Kernel; Principal component analysis; Complex field; KFDA; Multimodal biometric recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3744-3
Type :
conf
DOI :
10.1109/IAS.2009.68
Filename :
5283146
Link To Document :
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