Journal Name:
- Indian Streams Research Journal
Key Words:
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Abstract (2. Language):
Face recognition has received a great deal of attention from the scientific and industrial communities over
the past several decades owing to its wide range of applications in information security and access control, law
enforcement agencies, surveillance and more generally image understanding. Most of these methods were initially
developed with face images collected under relatively well-controlled conditions and in practice they have difficulty
in dealing with the range of appearance variations that commonly occur in unconstrained natural images due to
illumination, pose, facial expression, aging, partial occlusions, etc. Unfortunately, facial appearance depends
strongly on the ambient lighting conditions. This paperpresents a robust technique for identifying the faces in the
various lighting conditions. The proposed method normalizes the acquired images under different lighting
conditions in the first step. In the next step it captures as much as possible of the available information with
relatively few training samples. The results show that our proposed method outperforms several existing
preprocessors for a range of feature sets, data sets and lighting conditions.
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