Face Recognition using independent component analysis of GaborJet (GaborJet-ICA)

Kinage, Kishor S.; Bhirud, S. G.

doi:10.1109/cspa.2010.5545318

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…ICA is a solution for this blind source separation problem with this assumption that source components are mutually and statistically independent [3]. ICA can be applied to many applications such as biomedical signal processing [4], image processing [5], sound signal processing [6], and face recognition [7].…”

Section: Introductionmentioning

confidence: 99%

A low cost and reliable Polak-Ribiere conjugate gradient deflation ICA algorithm for real signals

Ghasemi-Fard

Ansari-Asl

Albera³

et al. 2013

2013 21st Iranian Conference on Electrical Engineering (ICEE)

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In this paper a new more robust version of a classical deflation independent component analysis algorithm (namely DelLR) which was introduced by Delfosse and Loubaton[1] for real context, is implemented. The new version uses one of the nonlinear conjugate gradient optimization methods, Polak-Ribiere.We compared the new algorithm with the classical one and the FastICA technique in order to propose a performance comparison of different deflation based ICA algorithms in terms of estimation accuracy and numerical complexity on different signals, audio and images. We show that the new algorithm is faster and has higher quality of separation and a lower computational cost than others.

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