Face recognition is a well-known image analysis application in the fields of pattern
recognition and computer vision. It utilizes the uniqueness of human facial characteristics for …

Face Recognition is a well-known image analysis application in the branches of pattern
recognition and computer vision. It utilizes the uniqueness of human facial characteristics for …

Face recognition is a type of biometric software application that can identify a specific
individual in a digital image by analyzing and comparing patterns. It is the process of …

In this paper, the authors present a method of face recognition in which features are
extracted by applying Principal component analysis on wavelet subband. Support vector …

Human face recognition is the most important research area of computer vision and pattern
recognition. This area consists of several rules like image processing, neural networks …

In this study, we present an evaluation of using various methods for face recognition. As
feature extracting techniques we benefit from wavelet decomposition and Eigenfaces …

Face recognition can represent a key requirement in various types of applications such as
human-computer interface, monitoring systems, as well as personal identification. In this …

Building an automated system for recognition of Human Face with quite good accuracy and
speed as similar to human brain‟ s ability is quite a challenging task. Principal Component …

In this paper we discuss and an implemented different method of face recognition namely
Principal Component Analysis, Discrete Wavelet Transform Cascaded with Principal …

Automatic face recognition system is an important component of intelligent human computer
interaction systems for biometric. It is an attractive biometric approach, to distinguish one …