@article{MAKHILLIJSC20138121106,
    title = {An Efficient Face Recognition System Using Transforms},
    journal = {International Journal of Soft Computing},
    volume = {8},
    number = {1},
    pages = {42-49},
    year = {2013},
    issn = {1816-9503},
    doi = {ijscomp.2013.42.49},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2013.42.49},
    author = {S. and},
    keywords = {Biometrics,face recognition,compression domain,transforms,feature extraction},
    abstract = {Visual recognition is a process of authenticating a true identity 
  of a person. It is one of the applications of Biometrics. This technique makes 
  it possible to use a person’s image to verify their identity. The proposed 
  system includes three different modules such as compression, feature extraction 
  and feature matching. The face recognition is performed in the compression domain. 
  Three transforms are utilized for compression namely Discrete Wavelet Transform 
  (DWT), Discrete Cosine Transform (DCT) and Fast Fourier Transform (FFT). Principle 
  Component Analysis (PCA) and Euclidean distance algorithm is used for feature 
  extraction and feature matching. By taking transform the image enters into compression 
  domain and inverse transform is omitted. As a result, computational complexity, 
  time consumption and storage space of the visual recognition system is reduced.}
    }