Mail Security Alert Using PCA and Eigen Victor: A Review

TLDR: In this article, a real-time approach for the identification of faces in a security camera induced video stream is proposed, which is essentially to apply and validate the recognition algorithm Eigenfaces which uses principal component analysis in order to solve the recognition problem of 2D faces.

Abstract: Real time face recognition has been used to implement a real-time approach for the identification of faces in a security camera induced video stream. Consequently, both facial identification and facial recognition techniques are briefly listed and related technical data are not omitted. The solution proposed was essentially to apply and validate the recognition algorithm Eigenfaces which uses principal component analysis in order to solve the recognition problem of two-dimensional faces. The snapshots reflecting the input images of your device are projected onto a face space (characteristic space) that explains better the variance for the set of facial images. The ‘owners,’ which are the characteristic vectors of the face set, define the face space. These elements help to rebuild a fresh face image that has been projected into face space with considerable details (named weight). To identify the human being, in this feature space the current picture projection is compared to the available projections from the training array. The PCA technique is used since it is effective in developing facial recognition systems. The frame will conduct real-time facial detection and analysis as well as provide feedback in the form of a window showing the details from the database of the topic and send an e-mail to interested organisations.