DocumentCode :
2480857
Title :
PSO versus AdaBoost for feature selection in multimodal biometrics
Author :
Raghavendra, R. ; Dorizzi, Bernadette ; Rao, Ashok ; Hemantha, Kumar G.
Author_Institution :
India & Inst. TELECOM, Univ. of Mysore, Paris, France
fYear :
2009
fDate :
28-30 Sept. 2009
Firstpage :
1
Lastpage :
7
Abstract :
In this paper, we present an efficient feature level fusion scheme that we apply on face and palmprint images. The features for each modality are obtained using log Gabor transform and concatenated to form a fused feature vector. We then use particle swarm optimization (PSO) scheme to reduce the dimension of this vector. Final classification is performed on the projection space of the selected features using kernel direct discriminant analysis (KDDA). Extensive experiments are carried out on a virtual multimodal biometric database of 250 users built from the face FRGC and the palmprint PolyU databases. We compare the proposed selection method with the well known adaptive boosting (AdaBoost) method in terms of both number of features selected and performance. Experimental results in both closed identification and verification rates show that feature fusion improves performance over match score level fusion and also that the proposed method outperforms AdaBoost in terms of reduction of the number of features and facility of implementation.
Keywords :
biometrics (access control); face recognition; image fusion; particle swarm optimisation; transforms; AdaBoost; PSO; adaptive boosting; face images; feature level fusion scheme; feature selection; kernel direct discriminant analysis; log Gabor transform; multimodal biometrics; palmprint images; particle swarm optimization; Biometrics; Boosting; Concatenated codes; Kernel; Particle swarm optimization; Performance analysis; Security; Spatial databases; Telecommunications; Vectors; Multimodal Biometrics; feature level fusion; feature selection; particle swarm optimisation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics: Theory, Applications, and Systems, 2009. BTAS '09. IEEE 3rd International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-5019-0
Electronic_ISBN :
978-1-4244-5020-6
Type :
conf
DOI :
10.1109/BTAS.2009.5339039
Filename :
5339039
Link To Document :
بازگشت