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