Paper Title
Face Recognition using Cohesive Techniques

Abstract
Face recognition has gained attention and is playing a major role in the field of Law Enforcement, Institution, Marketing, Social Media, Retail, Hospitals and Enterprises. Some of the serious challenges of the developing face recognition system are due to variation in head poses, illumination, contrast and expressions. Efficient face recognition algorithms are required to solve the above challenges. The systems for face recognition are now replenishing the requirement for security. The growing demand of face recognition system is clear from the from market survey. This paper focuses to resolve few challenges of face detection. This paper covers the comparative analysis of various existing methods and proposed method as a part of feature extraction and classification under different conditions. Feature extraction and classification are two important steps in face recognition. Performance of the algorithms has been compared and recognition rate has been analyzed. Keywords - PCA; LDA; Logistic Regression; SVM; KNN; LOO Approach; Eigen Method