Also, hybrid systems constructed of two or more of the
previous methods are made.
Various features extraction can be used for face recognition
namely, the wavelet transform, the radon transform, the DCT
transform, Data compression through common interpolation
and PCA.
The above feature extraction methods (5] help in
dimensionality reduction and removing redundancy in the input
data, thus obtaining high speed recognition systems that
possess noise immunity.
Also, hybrid systems constructed of two or more of theprevious methods are made.Various features extraction can be used for face recognitionnamely, the wavelet transform, the radon transform, the DCTtransform, Data compression through common interpolationand PCA.The above feature extraction methods (5] help indimensionality reduction and removing redundancy in the inputdata, thus obtaining high speed recognition systems thatpossess noise immunity.
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