Improved Face Recognition Rate based on PCA and LDA using Image Processing Techniques

Abstract

Contrary to the other existing biometric technologies such as iris, hand geometry, fingerprint, voice, retinal, it is non-intrusive and can be used even without knowledge of the subject [3]. FR focuses on image processing and pattern recognition because of their wide range of applications, such as smart cards, criminal investigation, social network and access control [4]. Though FR has been considered for several years, it is still a challenging task due to the various types of large face variations, e.g., pose, expressions, illuminations, corruption, occlusion and disguises