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IJSTR >> Volume 9 - Issue 4, April 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Modified Illumination Invariant Algorithm Based Human Face Detection

[Full Text]

 

AUTHOR(S)

Kaushik M.K., Rashmi Samanth, Subramanya G. Nayak

 

KEYWORDS

Face recognition, Illumination, Histogram of Oriented Gradients, Error Correcting Output Codes, Support Vector Machines, ORL Database, Extended Yale Face Database

 

ABSTRACT

Face recognition systems are adversely affected by multiple external factors like illumination, pose, quality of image etc. Illumination is one of the main factors that hinders the performance of the system, the proposed methodology minimizes the effects of varied lighting conditions on the images. The algorithm uses Histogram of Oriented Gradients (HOG) technique for feature extraction and Error correcting output Codes (ECOC) Multi class Support Vector Machines (SVM) for classification. The results are verified using ORL and Extended Yale Face Database B image sets and good accuracy was obtained in the classification of poor and well illuminated images.

 

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