DocumentCode :
3493389
Title :
Face Recognition using independent component analysis of GaborJet (GaborJet-ICA)
Author :
Kinage, Kishor S. ; Bhirud, S.G.
Author_Institution :
Electron. & Telecomm. Dept., D.J. Sanghvi Coll. of Eng., Mumbai, India
fYear :
2010
fDate :
21-23 May 2010
Firstpage :
1
Lastpage :
6
Abstract :
In this paper a new face recognition technique based on Independent Component Analysis of GaborJet (GaborJet-ICA) is proposed. Existing face recognition systems using Gabor wavelets convolve a whole face image with a set of 40 Gabor wavelets. We have derived Gabor feature vector from facial landmarks (fiducial points) known as GaborJets. We then transformed this GaborJet feature vector into the basis space of PCA and ICA. A series of experiments based on ORL database were then performed to evaluate the performance. During our experiments we varied number of subspace dimensions from 2 to 40 and numbers of independent components derived were in the range 1 to 200. As literature on PCA and ICA subject is contradictory, we compared the performance for GaborJet-PCA and GaborJet-ICA. The results show maximum accuracy of 82.25% and 84.5% for GaborJet-PCA and GaborJet-ICA respectively. This proves that the difference in performance between ICA and PCA is of 2.25%, which is insignificant.
Keywords :
face recognition; feature extraction; independent component analysis; principal component analysis; wavelet transforms; Gabor feature vector; Gabor wavelets; GaborJet ICA; GaborJet PCA; face recognition; facial landmarks; independent component analysis; principal component analysis; Application software; Educational institutions; Face recognition; Image databases; Independent component analysis; Performance evaluation; Principal component analysis; Signal processing; Spatial databases; Telecommunication computing; Gabor; GaborJet; ICA; PCA; face recognition; wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications (CSPA), 2010 6th International Colloquium on
Conference_Location :
Mallaca City
Print_ISBN :
978-1-4244-7121-8
Type :
conf
DOI :
10.1109/CSPA.2010.5545318
Filename :
5545318
Link To Document :
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