TY  - JOUR
T1  - Recognition of Face Images Through the Fusion Approach
AU - Arathy, V. AU - Babu, P. Srinivasa 
JO  - Asian Journal of Information Technology
VL  - 13
IS  - 3
SP  - 150
EP  - 155
PY  - 2014
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2014.150.155
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2014.150.155
KW  - Color face recognition
KW  -color local texture features
KW  -combination
KW  -principal component analysis
KW  -linear discriminant analysis
AB  - Face Recognition System should be able to automatically detect 
  a face in images. This involves extraction of its features and then recognizes 
  it, regardless of lighting, ageing, occlusion, expression, illumination and 
  pose. Color local texture method do not easy to recognize the face and if variation 
  in face means do not get proper results. Linear Discriminant Analysis (LDA) 
  is commonly used technique for data classification and dimensionality reduction. 
  LDA approach overcomes the above problem. The objective of LDA is to perform 
  dimensionality reduction while preserving as much of the class discriminatory 
  information as possible. Linear discriminant analysis is also known as Fisher’s 
  discriminant analysis and it searches for those vectors in the underlying space 
  that best discriminate among classes.
ER  -