Face Recognition Using Principal Component Analysis
Geeta Rani, M Sakthimohan, Manoharan Pon Suresh, Madhurapantula Abhiram, Kandregula Jai Surya, Balasaraswathi Yugandher Adiki Nithin Kumar
20222022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)42 citationsDOI
Abstract
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 complexity we need much good worthy computing techniques for detection as well as for recognition. The aim of this paper is to address that face recognition with the best method Eigen Faces or Principal Component Analysis (PCA) algorithm basis. We also see face detection, recognition in this paper. We used a training database as Olivetti dataset.
Topics & Concepts
Principal component analysisFacial recognition systemFace (sociological concept)Computer sciencePattern recognition (psychology)Artificial intelligenceEigenfaceThree-dimensional face recognitionField (mathematics)Face detectionComponent (thermodynamics)BiometricsComputational complexity theoryBasis (linear algebra)AlgorithmMathematicsPure mathematicsThermodynamicsSocial scienceSociologyPhysicsGeometryFace and Expression RecognitionFace recognition and analysisBiometric Identification and Security