Call For Paper Volume:4 Issue:10 Oct'2017 |

Illumination Invariant Face Recognition

Publication Date : 10/07/2015



Author(s) :

Sailee Salkar , Kailash Sharma , Nikhil Patankar.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

This paper introduces a system in which the face recognition is carried out with the help of the local feature descriptors. As today face recognition is a very active area of research, a system which carries out the robust face recognition is needed to be developed. Face recognition is used in various fields of security and access control, surveillance military etc. here the system is developed in which face recognition is done under varying illumination (lighting) conditions. Local directional number pattern (LDN) is the descriptor which is used here to extract the features from the face image. The LDN produces the compact code which extracts the useful features of the face. The face image is divided into several regions and then for each region LDN is computed and then the histogram of each region is taken for the sake of comparison. Then all the histograms are concatenated to form a feature vector. The LDN thus perform the best under the varying illumination conditions for the correct face recognition.


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