DocumentCode :
1945524
Title :
Subspace Framework for Feature-Level Fusion with Its Application to Handmetric Verification
Author :
Li, Qiang ; Qiu, Zhengding ; Sun, Dongmei ; Zhang, Yanqiang
Author_Institution :
Inst. of Inf. Sci., Beijing Jiaotong Univ.
Volume :
4
fYear :
2006
fDate :
16-20 2006
Abstract :
A framework of FLF (feature-level fusion) is put forward based on subspace analyzes. While verifies that existing feature concatenating methods are instances of the framework, a parameter optimized model using KPCA (kernel principal components analyze) is presented and applied to the fusion of palmprint, knuckleprint and hand shape, which is called handmetric verification. The experiment testifies the effectiveness of proposed method
Keywords :
biometrics (access control); image recognition; principal component analysis; feature concatenating methods; feature-level fusion; handmetric verification; kernel principal components analysis; knuckleprint fusion; palmprint fusion; subspace framework; Biometrics; Fingers; Information analysis; Information geometry; Information science; Kernel; Optimization methods; Shape; Sun; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.345928
Filename :
4129620
Link To Document :
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