Face recognition using DCT and PCA approach

Anilkumar, Karri (2013) Face recognition using DCT and PCA approach. BTech thesis.



A complex multidimensional structure like face needs good computing techniques for
recognition. In this thesis face recognition is done by Principal Component Analysis (PCA) and
by Discrete Cosine Transform (DCT). Face images are projected onto a face space that encodes
best variation among known face images. The face space is defined by eigenface which are
eigenvectors of the set of faces. In the DCT approach we transform the image into the frequency
domain and extract the feature from it. For feature extraction we use two approach.. In the 1st
approach we take the DCT of the whole image and extract the feature from it. In the 2nd
approach we divide the image into sub-images and take DCT of each of them and then extract
the feature vector from them.

Item Type:Thesis (BTech)
Uncontrolled Keywords:DCT, PCA
Subjects:Engineering and Technology > Electronics and Communication Engineering > Image Processing
Divisions: Engineering and Technology > Department of Electronics and Communication Engineering
ID Code:5290
Deposited By:Hemanta Biswal
Deposited On:16 Dec 2013 17:05
Last Modified:20 Dec 2013 14:51
Supervisor(s):Meher, S

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