%0 Journal Article
%T An Approach to Face Recognition of 2-D Images Using Eigen Faces and PCA
%A Annapurna Mishra
%A Monorama Swain
%A Bodhisattva Dash
%J Signal & Image Processing
%D 2012
%I Academy & Industry Research Collaboration Center (AIRCC)
%X Face detection is to find any face in a given image. Face recognition is a two-dimension problem used fordetecting faces. The information contained in a face can be analysed automatically by this system likeidentity, gender, expression, age, race and pose. Normally face detection is done for a single image but itcan also be extended for video stream. As the face images are normally upright, they can be described by asmall set of 2-D characteristics views. Here the face images are projected to a feature space or face spaceto encode the variation between the known face images. The projected feature space or the face space canbe defined as ¡®eigenfaces¡¯ and can be formed by eigenvectors of the face image set. The above process canbe used to recognize a new face in unsupervised manner. This paper introduces an algorithm which is usedfor effective face recognition. It takes into consideration not only the face extraction but also themathematical calculations which enable us to bring the image into a simple and technical form. It can alsobe implemented in real-time using data acquisition hardware and software interface with the facerecognition systems. Face recognition can be applied to various domains including security systems,personal identification, image and film processing and human computer interaction.
%K Face Recognition
%K Feature Space
%K Eigen Faces
%K Eigenvectors.
%U http://airccse.org/journal/sipij/papers/3212sipij10.pdf