In this paper, we propose a PCA-based face recognition system implemented using the
concept of neural networks. This system has three stages, viz. pre processing, PCA and face …

Face Recognition is a common problem in Machine Learning. This technology has already
been widely used in our lives. For example, Facebook can automatically tag people's faces …

Face recognition systems have been grabbing high attention from commercial market point
of view as well as pattern recognition field. It also stands high in researchers community …

This paper mainly addresses the building of face recognition system by using Principal
Component Analysis (PCA). PCA is a statistical approach used for reducing the number of …

Face recognition is one of the finest method or field to use for better accuracy and also
security. Face is comprising of multidimensional structure with complexity and for that …

Human face recognition has been employed in different commercial and law enforcement
applications. It has also been employed for mug shots matching, bank-store security, crowd …

Face recognition is an ever changing and evolving domain for research. However, the
application of face recognition is still new and not commonly used in this country as opposed …

Eigenfaces which is ignores in the previous work that is the question of which features are
important for classification, and which are not. Eigenfaces seeks to answer this by using …

Eigenface is an algorithm in the principal component analysis (PCA) that is used to
recognize faces. Eigenface used to reduce dimensionality and find the best vector for …

Security and authentication of a person is a crucial part of any industry. There are many
techniques used for this purpose. One of them is face recognition. Face recognition is an …