Face Recognition Using Improved FFT Based Radon by PSO and PCA Techniques

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Provided by: Computer Science Journals
Topic: Security
Format: PDF
Face recognition is one of the problems which can be handled very well using hybrid techniques or mixed transform rather than single technique. This paper deals with using of radon transform followed by PCA (Principal Component Analysis) and LDA (Linear Discrimenant Analysis) techniques for face recognition. The data used are 2D face images from ORL database. The Radon transform used is based on FFT (Fast Fourier Transform) slice theorem. The directions along which the Radon transform is performed are selected using PSO (Particle Swarm Optimization) in order to achieve a good recognition rate. The best directions selected are less computation expensive as compared to the full set of directions and achieve good recognition rate.
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