Date of Award
Electrical and Computer Engineering
Wu, Jonathan (Electrical & Computer Engineering)
Engineering, Electronics and Electrical.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Multiresolution tools have been profusely employed in face recognition. Wavelet Transform is the best known among these multiresolution tools and is widely used for identification of human faces. Of late, following the success of wavelets a number of new multiresolution tools have been developed. Curvelet Transform is a recent addition to that list. It has better directional ability and effective curved edge representation capability. These two properties make curvelet transform a powerful weapon for extracting edge information from facial images. Our work aims at exploring the possibilities of curvelet transform for feature extraction from human faces in order to introduce a new alternative approach towards face recognition.
Mandal, Tanaya, "A new approach to face recognition using Curvelet Transform" (2008). Electronic Theses and Dissertations. 680.