• Deepak Garg
• Vikas Kumar

Abstract—Face is important part to identify the person. It can be used as the computer visual application. Face is the important part of our body by which it is easy to identify and recognize the person. Face detection is one of the challenging tasks as there are many issues such as changes in the appearances of faces, variations in poses, noise, distortion and illumination condition. The objective of the present study is to make a real time efficient face recognition system with Open CV so as to apply it for the real time applications where we need a low recognition time but high accuracy. In this paper, the framework for efficient face detection using fusion of PCA and LBP is presented. The image features are represented as reduced features space by using PCA which is a dimensionality reduction technique. The performance of LBP is compared with ULBP algorithm. All simulations are done in OPENCV tool.

PCA, Eigen faces, Eigen space, Face Detection, Face recognition etc.

"Method & Implementation of Real Time Face Recognition to Enhance Frame Rate", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.692-696, June 2019, Available :http://www.jetir.org/papers/JETIR1906K82.pdf

"Method & Implementation of Real Time Face Recognition to Enhance Frame Rate", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp692-696, June 2019, Available at : http://www.jetir.org/papers/JETIR1906K82.pdf