Title :
Face recognition based on Wavelet and Fourier transform
Author :
Lihong, Zhao ; Yanan, Tian ; Xili, Zhang
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
Abstract :
Processing of the face image in the transform domain can remove the noise by the change of illumination and camera. So a method presented in this paper is based on wavelet and Fourier transform. Facial features are obtained by combining discrete wavelet transform with Fourier transform. And they are classified by the Nearest-Neighbor classifier with the similarity metric of Euclidean distance and correlation coefficient. Experiments are made in ORL and YALE face image databases. The experimental results show that the proposed method is simple, fast and effective for the face recognition.
Keywords :
Fourier transforms; discrete wavelet transforms; face recognition; pattern classification; Euclidean distance; Fourier transform; correlation coefficient; discrete wavelet transform; face image processing; face recognition; facial features; nearest neighbor classifier; similarity metric; transform domain; Cameras; Discrete Fourier transforms; Discrete transforms; Discrete wavelet transforms; Euclidean distance; Face recognition; Facial features; Fourier transforms; Image databases; Lighting; Fourier transform; face recognition; spectrofaces; wavelet transform;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4598125
