Face Recognition Technique Using PCA, Wavelet and SVM
Journal Title: International Journal on Computer Science and Engineering - Year 2014, Vol 6, Issue 1
Abstract
We present a method of face recognition in which features are extracted by applying Principal component analysis on wavelet subband. Support vector machine and nearest distance methods are used for classification. Results are tested on ORL database and obtained highest classification accuracy 97.5% for 6 images per person in training set.
Authors and Affiliations
Manisha Satone , Gajanan Kharate
Keywords
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