Comparative study of face recognition techniques using joint transform correlation and independent component analysis

Abdul Alsamman

doi:10.1117/12.607976

28 March 2005 Comparative study of face recognition techniques using joint transform correlation and independent component analysis

Abdul Alsamman

Author Affiliations +

Proceedings Volume 5816, Optical Pattern Recognition XVI; (2005) https://doi.org/10.1117/12.607976
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Face recognition based on independent component analysis (ICA) has emerged as a popular approach for face recognition application. In this paper we present a comparison between various optoelectronic face recognition techniques and ICA based face recognition. Computer simulations are used to study the effectiveness of the fastICA algorithm in recognizing facial images with a high level of three-dimensional (3-D) distortion. Results are then compared to various distortion-invariant optoelectronic face recognition algorithms such as synthetic discriminant functions (SDF), projection-slice SDF, optical correlator based neural networks, and pose estimation based correlation.

Citation Download Citation

Abdul Alsamman "Comparative study of face recognition techniques using joint transform correlation and independent component analysis", Proc. SPIE 5816, Optical Pattern Recognition XVI, (28 March 2005); https://doi.org/10.1117/12.607976

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