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 2D-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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Driver Face Recognition by Using 3D Discrete Cosine Transform


    Contributors:


    Publication date :

    2007-06-01


    Size :

    695485 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Driver Face Recognition by Using 3D Discrete Cosine Transform

    Gunlu, G. / Bilge, H.S. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2007


    Face Recognition Using the Discrete Cosine Transform

    Hafed, Z. M. / Levine, M. D. | British Library Online Contents | 2001




    Audio Data Indexing Using Discrete Cosine Transform

    Subramanya, S. R. / Youssef, A. / Narahari, B. et al. | British Library Online Contents | 2003