Title :
Driver Face Recognition by Using 3D Discrete Cosine Transform
Author :
Gunlu, Goksel ; Bilge, Hasan Sakir
Author_Institution :
Gazi Univ., Ankara
Abstract :
Next generation vehicles are foreseen to use biometric recognition systems for person authentication. One of them is face recognition. In this study, a different approach of feature vector generation is presented for a face recognition system. To generate the feature vectors, DCTfaces, which are very similar to Eigenfaces, are used. DCTfaces are obtained by using 3D-DCT of face images after an image synthesis and ID-Inverse DCT of the 3D DCT coefficient layers. Taking the advantage of DCT image compression capability, very few terms are used for these DCTfaces. Experimental results show that, DCTfaces can be successfully used for feature vector generation in face recognition.
Keywords :
biometrics (access control); discrete cosine transforms; face recognition; 1D-inverse DCT; 3D discrete cosine transform; biometric recognition systems; driver face recognition; feature vector generation; image synthesis; next generation vehicles; person authentication; Authentication; Biometrics; Discrete cosine transforms; Face recognition; Image coding; Principal component analysis; Testing; Vectors; Vehicle driving; Vehicle safety;
Conference_Titel :
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location :
Istanbul
Print_ISBN :
1-4244-1067-3
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2007.4290195