Extensive Comparative Study: Robust Face Recognition System with Various Normalization Techniques
Raj Kumar Sahu, Yash Pal Singh, Abhijit Kulshrestha · 2013
Face recognition is a computer based person identification technique based on arithmetical and numerical features obtained from face images. In a face recognition system, illumination has been a great problem. In this work, light variation is tried to dominate to increase recognition rate. To improve the face recognition rate further, a novel technique is adopted, where facial images are vertically divided into two equal halves and D2DPCA dimension reduction technique is applied in each halves. Normalization is performed by two different techniques, which are Min-Max and Z-Score recognition rates achieved by them are 95.76% and 95.90 respectively. Comparing proposed technique with conventional technique, Hence it is shown that proposed technique works well for illumination variant images and D2DPCA is better dimension reduction tool than 2DPCA.