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Face Recognition Under Difficult Lighting Conditions

Journal Name:

  • Indian Streams Research Journal

Publication Year:

  • 2013

Key Words:

Author Name
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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